This report contains a searchable table, followed by publication-ready tables.

Summary

Notes

  1. All available models are contained in the dynamic table, while only the ‘aehplus’ models are shown in the static tables.

Unanswered Questions

  1. How should we handle entries that are entirely missing?
  2. How should we handle entries containing null/NA results?

Answered Questions

Warning in instance$preRenderHook(instance): It seems your data is too big for client-side DataTables. You may consider
server-side processing: http://rstudio.github.io/DT/server.html

Dynamic Table

Static Tables

The ‘aehplus’ model (with covariates age, education, health, and others) is shown for each combination of

eas

Process Gender \(n\) species intercept slope
block female 150 intercept 18.93(2.41),\(p\)<.01 0.80(0.47),\(p\)=.09
age -0.15(0.16),\(p\)=.37 -0.04(0.03),\(p\)=.15
education 0.88(0.26),\(p\)<.01 -0.07(0.05),\(p\)=.17
height -0.01(0.11),\(p\)=.91 -0.01(0.02),\(p\)=.66
smoking 1.53(1.44),\(p\)=.29 -0.10(0.26),\(p\)=.69
cardio -0.38(2.44),\(p\)=.88 -0.07(0.73),\(p\)=.93
diabetes -4.39(2.59),\(p\)=.09 0.18(0.40),\(p\)=.65
block male 72 intercept 24.09(7.14),\(p\)<.01 1.46(1.58),\(p\)=.36
age 0.25(0.45),\(p\)=.57 -0.09(0.08),\(p\)=.28
education 0.58(0.53),\(p\)=.28 -0.09(0.11),\(p\)=.44
height 0.04(0.22),\(p\)=.85 -0.03(0.05),\(p\)=.48
smoking -3.94(3.47),\(p\)=.26 0.25(0.78),\(p\)=.80
cardio 0.32(4.47),\(p\)=.93 0.22(1.57),\(p\)=.89
diabetes -3.76(3.99),\(p\)=.35 -0.42(1.11),\(p\)=.71
bnt female 150 intercept 10.80(0.66),\(p\)<.01 -0.06(0.16),\(p\)=.69
age -0.06(0.05),\(p\)=.29 -0.01(0.01),\(p\)=.52
education 0.27(0.07),\(p\)<.01 -0.00(0.02),\(p\)=.90
height 0.00(0.03),\(p\)=.88 0.00(0.01),\(p\)=.97
smoking 0.45(0.24),\(p\)=.07 0.01(0.11),\(p\)=.91
cardio -0.82(0.50),\(p\)=.11 0.20(0.19),\(p\)=.27
diabetes -1.64(0.48),\(p\)<.01 -0.03(0.12),\(p\)=.79
bnt male 72 intercept 11.09(1.92),\(p\)<.01 0.19(0.43),\(p\)=.64
age 0.04(0.08),\(p\)=.64 -0.03(0.02),\(p\)=.28
education 0.10(0.16),\(p\)=.54 -0.00(0.03),\(p\)=.88
height 0.01(0.07),\(p\)=.87 0.00(0.02),\(p\)=.89
smoking 0.91(0.94),\(p\)=.34 -0.20(0.24),\(p\)=.39
cardio -0.22(1.17),\(p\)=.83 -0.02(0.61),\(p\)=.97
diabetes -0.37(1.00),\(p\)=.70 0.22(0.28),\(p\)=.44
categories female 150 intercept 38.58(2.78),\(p\)<.01 -0.78(0.72),\(p\)=.28
age -0.35(0.19),\(p\)=.07 -0.03(0.04),\(p\)=.48
education 0.72(0.29),\(p\)=.01 0.07(0.06),\(p\)=.27
height -0.10(0.14),\(p\)=.49 0.00(0.03),\(p\)=.89
smoking 0.78(1.34),\(p\)=.56 0.08(0.39),\(p\)=.84
cardio 1.06(3.11),\(p\)=.73 0.00(0.76),\(p\)=.96
diabetes -5.08(2.30),\(p\)=.03 0.01(0.66),\(p\)=.95
categories male 72 intercept 30.41(8.01),\(p\)<.01 0.89(1.76),\(p\)=.61
age -0.16(0.47),\(p\)=.73 -0.06(0.08),\(p\)=.51
education 1.05(0.70),\(p\)=.13 -0.11(0.15),\(p\)=.46
height -0.11(0.20),\(p\)=.59 -0.01(0.05),\(p\)=.78
smoking 3.64(4.95),\(p\)=.46 -0.45(0.92),\(p\)=.63
cardio -0.63(8.06),\(p\)=.94 0.14(1.31),\(p\)=.91
diabetes -1.02(3.98),\(p\)=.80 0.28(0.84),\(p\)=.74
digit_tot female 150 intercept 13.64(0.93),\(p\)<.01 0.24(0.19),\(p\)=.19
age -0.07(0.07),\(p\)=.30 -0.01(0.02),\(p\)=.34
education 0.28(0.09),\(p\)<.01 -0.02(0.02),\(p\)=.34
height 0.03(0.05),\(p\)=.57 -0.01(0.01),\(p\)=.17
smoking 0.41(0.52),\(p\)=.43 -0.02(0.13),\(p\)=.88
cardio -0.33(1.07),\(p\)=.76 -0.11(0.30),\(p\)=.72
diabetes -1.59(0.80),\(p\)=.05 0.06(0.15),\(p\)=.70
digit_tot male 72 intercept 12.89(3.48),\(p\)<.01 -0.10(0.59),\(p\)=.88
age -0.02(0.16),\(p\)=.90 0.01(0.04),\(p\)=.79
education 0.34(0.24),\(p\)=.18 -0.00(0.04),\(p\)=.95
height -0.14(0.08),\(p\)=.08 0.01(0.02),\(p\)=.66
smoking 1.23(1.74),\(p\)=.48 -0.16(0.25),\(p\)=.53
cardio 0.45(1.64),\(p\)=.76 0.07(0.65),\(p\)=.92
diabetes -1.18(1.71),\(p\)=.50 0.00(0.45),\(p\)=.99
fas female 150 intercept 30.42(3.68),\(p\)<.01 0.44(0.70),\(p\)=.53
age -0.34(0.28),\(p\)=.21 -0.06(0.04),\(p\)=.09
education 1.28(0.36),\(p\)<.01 0.02(0.07),\(p\)=.75
height -0.11(0.18),\(p\)=.53 0.00(0.02),\(p\)=.97
smoking 2.92(1.59),\(p\)=.06 -0.08(0.38),\(p\)=.84
cardio -2.02(3.62),\(p\)=.58 0.07(0.79),\(p\)=.93
diabetes -7.09(2.74),\(p\)=.01 0.48(0.54),\(p\)=.37
fas male 72 intercept 27.23(7.48),\(p\)<.01 1.29(1.26),\(p\)=.31
age -0.02(0.42),\(p\)=.96 -0.01(0.08),\(p\)=.89
education 1.59(0.69),\(p\)=.03 -0.14(0.13),\(p\)=.27
height -0.33(0.38),\(p\)=.39 0.00(0.07),\(p\)=.99
smoking 1.48(4.28),\(p\)=.73 0.23(0.64),\(p\)=.72
cardio 0.95(7.87),\(p\)=.90 -0.55(1.84),\(p\)=.76
diabetes -6.25(5.25),\(p\)=.23 0.06(0.92),\(p\)=.95
gait female 150 intercept 109.88(8.33),\(p\)<.01 -3.29(2.60),\(p\)=.16
age -1.56(0.51),\(p\)<.01 -0.05(0.13),\(p\)=.70
education 0.40(0.82),\(p\)=.63 0.09(0.27),\(p\)=.72
height 0.05(0.34),\(p\)=.88 0.06(0.07),\(p\)=.37
smoking 3.05(4.04),\(p\)=.45 -0.29(1.23),\(p\)=.80
cardio -4.83(7.43),\(p\)=.52 -0.00(2.18),\(p\)=.96
diabetes -18.77(6.24),\(p\)<.01 0.61(2.17),\(p\)=.79
gait male 72 intercept 106.26(13.87),\(p\)<.01 -1.81(5.47),\(p\)=.72
age -0.46(0.64),\(p\)=.47 -0.11(0.22),\(p\)=.61
education 0.66(1.05),\(p\)=.51 -0.27(0.31),\(p\)=.37
height 0.05(0.47),\(p\)=.92 0.05(0.18),\(p\)=.81
smoking -1.64(7.59),\(p\)=.82 0.99(2.71),\(p\)=.70
cardio -4.13(12.01),\(p\)=.71 1.28(3.45),\(p\)=.74
diabetes -4.96(9.20),\(p\)=.59 0.17(3.49),\(p\)=.95
grip female 150 intercept 18.60(1.67),\(p\)<.01 -2.35(0.47),\(p\)<.01
age 0.06(0.12),\(p\)=.63 -0.06(0.03),\(p\)=.05
education -0.14(0.15),\(p\)=.35 0.10(0.04),\(p\)=.02
height 0.21(0.07),\(p\)=.01 -0.01(0.02),\(p\)=.75
smoking 0.94(0.94),\(p\)=.31 -0.00(0.30),\(p\)=.96
cardio 0.25(2.43),\(p\)=.92 0.32(0.57),\(p\)=.54
diabetes -2.13(1.60),\(p\)=.19 0.19(0.38),\(p\)=.64
grip male 72 intercept 36.36(5.45),\(p\)<.01 -2.39(1.47),\(p\)=.10
age -0.53(0.29),\(p\)=.07 -0.04(0.10),\(p\)=.69
education -0.27(0.45),\(p\)=.54 0.03(0.12),\(p\)=.79
height 0.21(0.20),\(p\)=.30 0.00(0.06),\(p\)=.97
smoking -0.17(3.31),\(p\)=.96 0.39(0.97),\(p\)=.69
cardio -0.42(3.47),\(p\)=.91 0.77(1.20),\(p\)=.51
diabetes -0.43(3.31),\(p\)=.90 -0.44(1.08),\(p\)=.68
information female 137 intercept 13.16(2.05),\(p\)<.01 0.27(0.59),\(p\)=.65
age -0.13(0.14),\(p\)=.33 0.01(0.04),\(p\)=.87
education 0.88(0.24),\(p\)<.01 -0.04(0.06),\(p\)=.52
height -0.01(0.08),\(p\)=.87 0.01(0.03),\(p\)=.85
smoking 0.29(0.82),\(p\)=.72 -0.01(0.36),\(p\)=.99
cardio 0.75(1.81),\(p\)=.67 -0.26(0.35),\(p\)=.46
diabetes -2.61(1.33),\(p\)=.05 -0.26(0.52),\(p\)=.62
information male 71 intercept 17.84(3.82),\(p\)<.01 -0.65(1.14),\(p\)=.57
age -0.05(0.23),\(p\)=.83 0.01(0.05),\(p\)=.84
education 0.67(0.33),\(p\)=.04 0.04(0.12),\(p\)=.74
height -0.04(0.18),\(p\)=.84 0.01(0.05),\(p\)=.91
smoking -0.22(1.81),\(p\)=.90 0.13(0.51),\(p\)=.79
cardio -1.23(2.67),\(p\)=.64 -0.10(0.75),\(p\)=.90
diabetes -1.40(2.55),\(p\)=.58 -0.10(0.77),\(p\)=.90
logic_tot female 150 intercept 18.22(2.07),\(p\)<.01 -0.06(0.44),\(p\)=.90
age -0.12(0.13),\(p\)=.32 -0.01(0.03),\(p\)=.64
education 0.71(0.22),\(p\)<.01 0.01(0.04),\(p\)=.80
height 0.08(0.10),\(p\)=.40 -0.00(0.02),\(p\)=.82
smoking 0.64(1.11),\(p\)=.56 -0.02(0.30),\(p\)=.94
cardio 0.28(2.93),\(p\)=.92 0.26(0.73),\(p\)=.72
diabetes -1.13(1.90),\(p\)=.55 -0.10(0.40),\(p\)=.81
logic_tot male 72 intercept 15.22(5.22),\(p\)<.01 1.67(1.03),\(p\)=.11
age -0.12(0.28),\(p\)=.67 -0.08(0.06),\(p\)=.20
education 0.86(0.36),\(p\)=.02 -0.13(0.07),\(p\)=.08
height 0.09(0.16),\(p\)=.59 -0.02(0.04),\(p\)=.64
smoking -0.08(3.18),\(p\)=.98 -0.06(0.58),\(p\)=.92
cardio 1.32(2.78),\(p\)=.63 -0.53(0.90),\(p\)=.54
diabetes 1.54(2.55),\(p\)=.54 0.53(0.79),\(p\)=.49
mmms female 111 intercept 26.33(0.63),\(p\)<.01 0.02(0.19),\(p\)=.57
age -0.00(0.04),\(p\)=.92 -0.00(0.01),\(p\)=.59
education 0.08(0.05),\(p\)=.16 -0.00(0.01),\(p\)=.72
height 0.01(0.03),\(p\)=.78 -0.00(0.01),\(p\)=.72
smoking -0.00(0.33),\(p\)=.49 0.03(0.09),\(p\)=.74
cardio -0.02(0.48),\(p\)=.84 -0.03(0.20),\(p\)=.77
diabetes -0.14(0.41),\(p\)=.73 0.03(0.11),\(p\)=.81
mmms male 72 intercept 26.68(0.80),\(p\)<.01 -0.06(0.29),\(p\)=.84
age -0.00(0.04),\(p\)=.98 -0.00(0.02),\(p\)=.86
education 0.06(0.06),\(p\)=.34 0.00(0.02),\(p\)=.91
height 0.00(0.03),\(p\)=.96 -0.00(0.01),\(p\)=.94
smoking -0.22(0.44),\(p\)=.62 0.06(0.13),\(p\)=.63
cardio 0.06(0.65),\(p\)=.92 -0.03(0.28),\(p\)=.91
diabetes -0.09(0.46),\(p\)=.84 0.03(0.16),\(p\)=.86
pef female 150 intercept 344.91(25.83),\(p\)<.01 -28.63(6.97),\(p\)<.01
age -4.28(1.83),\(p\)=.02 0.16(0.49),\(p\)=.74
education -2.12(2.75),\(p\)=.44 0.71(0.76),\(p\)=.35
height 0.46(1.22),\(p\)=.71 0.59(0.28),\(p\)=.04
smoking -0.44(15.45),\(p\)=.97 1.90(3.34),\(p\)=.56
cardio -22.00(30.23),\(p\)=.46 2.86(9.89),\(p\)=.79
diabetes -26.19(25.44),\(p\)=.30 -0.55(8.66),\(p\)=.94
pef male 72 intercept 449.94(90.97),\(p\)<.01 -32.02(35.01),\(p\)=.34
age -5.15(6.60),\(p\)=.41 0.44(2.51),\(p\)=.86
education 4.99(7.95),\(p\)=.52 0.32(2.16),\(p\)=.88
height 3.36(3.74),\(p\)=.34 -0.19(1.35),\(p\)=.89
smoking -29.25(70.39),\(p\)=.68 3.78(20.02),\(p\)=.83
cardio -23.91(78.80),\(p\)=.74 -1.93(22.17),\(p\)=.88
diabetes -12.45(63.78),\(p\)=.85 -1.92(20.41),\(p\)=.91
symbol female 150 intercept 41.23(3.25),\(p\)<.01 0.32(0.62),\(p\)=.60
age -0.40(0.27),\(p\)=.13 -0.05(0.03),\(p\)=.09
education 1.76(0.35),\(p\)<.01 -0.05(0.07),\(p\)=.49
height 0.05(0.20),\(p\)=.78 0.01(0.03),\(p\)=.89
smoking 2.34(2.19),\(p\)=.28 0.03(0.40),\(p\)=.93
cardio -5.04(6.40),\(p\)=.42 0.05(0.77),\(p\)=.93
diabetes -6.68(2.75),\(p\)=.01 -0.27(0.52),\(p\)=.63
symbol male 72 intercept 40.18(10.26),\(p\)<.01 0.66(2.24),\(p\)=.79
age -0.12(0.37),\(p\)=.74 -0.04(0.10),\(p\)=.71
education 1.30(0.75),\(p\)=.08 -0.16(0.17),\(p\)=.34
height 0.12(0.33),\(p\)=.73 0.00(0.08),\(p\)=.98
smoking 0.33(5.02),\(p\)=.96 -0.04(0.96),\(p\)=.91
cardio -4.75(6.17),\(p\)=.44 0.56(1.61),\(p\)=.73
diabetes -4.30(4.60),\(p\)=.35 0.25(1.01),\(p\)=.80
trailsb female 150 intercept 162.47(19.41),\(p\)<.01 3.44(5.71),\(p\)=.49
age 1.81(1.40),\(p\)=.20 0.20(0.32),\(p\)=.54
education -7.00(2.04),\(p\)<.01 -0.25(0.60),\(p\)=.63
height 0.12(0.88),\(p\)=.90 -0.01(0.22),\(p\)=.97
smoking -11.49(8.30),\(p\)=.17 -0.38(2.70),\(p\)=.89
cardio 26.91(19.19),\(p\)=.16 -2.06(7.64),\(p\)=.77
diabetes 31.07(17.17),\(p\)=.07 2.62(4.44),\(p\)=.56
trailsb male 72 intercept 154.66(49.68),\(p\)<.01 2.76(11.68),\(p\)=.80
age 1.00(2.70),\(p\)=.68 0.21(0.66),\(p\)=.78
education -6.29(4.34),\(p\)=.15 0.17(1.00),\(p\)=.88
height -0.65(1.70),\(p\)=.71 0.42(0.45),\(p\)=.37
smoking -0.57(36.70),\(p\)=.98 -2.20(9.20),\(p\)=.81
cardio 21.94(28.88),\(p\)=.45 -8.71(9.83),\(p\)=.38
diabetes 3.99(21.89),\(p\)=.85 3.47(7.24),\(p\)=.63
waisvocab female 150 intercept 34.86(3.23),\(p\)<.01 0.29(0.73),\(p\)=.70
age -0.15(0.28),\(p\)=.59 -0.04(0.05),\(p\)=.34
education 1.85(0.33),\(p\)<.01 0.01(0.07),\(p\)=.91
height -0.06(0.16),\(p\)=.72 0.01(0.03),\(p\)=.67
smoking 1.12(1.35),\(p\)=.40 -0.02(0.37),\(p\)=.96
cardio 3.36(4.01),\(p\)=.40 -0.64(1.04),\(p\)=.53
diabetes -4.82(2.44),\(p\)=.05 -0.16(0.51),\(p\)=.76
waisvocab male 72 intercept 33.97(6.42),\(p\)<.01 1.53(2.15),\(p\)=.48
age 0.39(0.34),\(p\)=.26 -0.09(0.10),\(p\)=.37
education 1.57(0.58),\(p\)=.01 -0.07(0.19),\(p\)=.69
height 0.03(0.28),\(p\)=.92 -0.03(0.08),\(p\)=.74
smoking -1.52(3.76),\(p\)=.69 0.11(0.85),\(p\)=.89
cardio -3.77(6.76),\(p\)=.58 -0.11(1.64),\(p\)=.94
diabetes 1.33(3.89),\(p\)=.73 -0.45(0.93),\(p\)=.61

elsa

Process Gender \(n\) species intercept slope
fev female 3,511 intercept 1.88(0.02),\(p\)<.01 -0.02(0.00),\(p\)<.01
age –,\(p\)= —- –,\(p\)= —-
education 0.10(0.02),\(p\)<.01 0.00(0.00),\(p\)=.65
height 0.03(0.00),\(p\)<.01 0.00(0.00),\(p\)=.03
smoking -0.11(0.02),\(p\)<.01 -0.00(0.00),\(p\)=.46
cardio -0.11(0.03),\(p\)<.01 0.00(0.00),\(p\)=.50
diabetes -0.05(0.04),\(p\)=.18 -0.00(0.01),\(p\)=.53
fev male 3,091 intercept 2.63(0.03),\(p\)<.01 -0.02(0.00),\(p\)<.01
age –,\(p\)= —- –,\(p\)= —-
education 0.20(0.03),\(p\)<.01 -0.01(0.00),\(p\)=.08
height 0.03(0.00),\(p\)<.01 0.00(0.00),\(p\)=.93
smoking -0.21(0.03),\(p\)<.01 0.00(0.00),\(p\)=.35
cardio -0.20(0.04),\(p\)<.01 0.00(0.00),\(p\)=.57
diabetes -0.06(0.05),\(p\)=.18 -0.02(0.01),\(p\)=.01
fev100 female 3,511 intercept 188.50(1.68),\(p\)<.01 -2.13(0.19),\(p\)<.01
age –,\(p\)= —- –,\(p\)= —-
education 10.17(1.79),\(p\)<.01 0.09(0.21),\(p\)=.65
height 2.76(0.15),\(p\)<.01 -0.04(0.02),\(p\)=.03
smoking -10.89(1.70),\(p\)<.01 -0.15(0.20),\(p\)=.46
cardio -11.18(3.09),\(p\)<.01 0.31(0.46),\(p\)=.50
diabetes -5.14(3.83),\(p\)=.18 -0.35(0.56),\(p\)=.53
fev100 male 3,091 intercept 262.62(3.21),\(p\)<.01 -2.21(0.44),\(p\)<.01
age –,\(p\)= —- –,\(p\)= —-
education 20.33(2.89),\(p\)<.01 -0.64(0.36),\(p\)=.08
height 3.34(0.21),\(p\)<.01 -0.00(0.02),\(p\)=.93
smoking -21.05(2.83),\(p\)<.01 0.32(0.34),\(p\)=.35
cardio -19.51(3.86),\(p\)<.01 0.28(0.49),\(p\)=.57
diabetes -6.20(4.67),\(p\)=.18 -1.60(0.63),\(p\)=.01
fluency female 3,510 intercept 17.64(0.18),\(p\)<.01 -0.08(0.03),\(p\)<.01
age –,\(p\)= —- –,\(p\)= —-
education 3.34(0.20),\(p\)<.01 0.03(0.03),\(p\)=.35
height 0.10(0.02),\(p\)<.01 -0.00(0.00),\(p\)=.09
smoking -0.06(0.19),\(p\)=.74 -0.04(0.03),\(p\)=.13
cardio -0.23(0.35),\(p\)=.52 -0.04(0.05),\(p\)=.35
diabetes -0.62(0.50),\(p\)=.22 -0.14(0.07),\(p\)=.05
fluency male 3,090 intercept 18.25(0.26),\(p\)<.01 -0.07(0.04),\(p\)=.06
age –,\(p\)= —- –,\(p\)= —-
education 2.76(0.22),\(p\)<.01 -0.04(0.03),\(p\)=.23
height 0.08(0.02),\(p\)<.01 0.00(0.00),\(p\)=.06
smoking -0.18(0.23),\(p\)=.45 -0.04(0.03),\(p\)=.23
cardio -0.58(0.30),\(p\)=.06 0.04(0.04),\(p\)=.35
diabetes -0.12(0.40),\(p\)=.77 -0.06(0.06),\(p\)=.28
gait female 3,510 intercept 0.83(0.01),\(p\)<.01 -0.01(0.00),\(p\)<.01
age –,\(p\)= —- –,\(p\)= —-
education 0.09(0.01),\(p\)<.01 0.00(0.00),\(p\)=.96
height 0.01(0.00),\(p\)<.01 0.00(0.00),\(p\)=.13
smoking -0.03(0.01),\(p\)<.01 0.00(0.00),\(p\)=.92
cardio -0.08(0.02),\(p\)<.01 -0.00(0.00),\(p\)=.32
diabetes -0.13(0.02),\(p\)<.01 0.00(0.00),\(p\)=.64
gait male 3,090 intercept 0.86(0.01),\(p\)<.01 -0.01(0.00),\(p\)<.01
age –,\(p\)= —- –,\(p\)= —-
education 0.11(0.01),\(p\)<.01 0.00(0.00),\(p\)=.25
height 0.00(0.00),\(p\)<.01 0.00(0.00),\(p\)=.66
smoking -0.04(0.01),\(p\)<.01 0.00(0.00),\(p\)=.83
cardio -0.06(0.01),\(p\)<.01 -0.00(0.00),\(p\)=.71
diabetes -0.06(0.02),\(p\)<.01 -0.00(0.00),\(p\)=.78
grip female 3,511 intercept 20.25(0.18),\(p\)<.01 -0.29(0.02),\(p\)<.01
age –,\(p\)= —- –,\(p\)= —-
education 0.99(0.19),\(p\)<.01 -0.01(0.02),\(p\)=.46
height 0.21(0.01),\(p\)<.01 -0.00(0.00),\(p\)=.05
smoking -0.17(0.17),\(p\)=.32 0.00(0.02),\(p\)=.95
cardio -1.54(0.34),\(p\)<.01 0.06(0.04),\(p\)=.13
diabetes -1.42(0.40),\(p\)<.01 0.00(0.04),\(p\)=.91
grip male 3,091 intercept 34.27(0.33),\(p\)<.01 -0.45(0.04),\(p\)<.01
age –,\(p\)= —- –,\(p\)= —-
education 1.26(0.30),\(p\)<.01 -0.03(0.03),\(p\)=.36
height 0.29(0.02),\(p\)<.01 0.00(0.00),\(p\)=.55
smoking -0.38(0.29),\(p\)=.20 -0.01(0.03),\(p\)=.75
cardio -0.33(0.39),\(p\)=.39 -0.13(0.04),\(p\)<.01
diabetes -2.04(0.50),\(p\)<.01 -0.16(0.05),\(p\)<.01
word_de female 3,511 intercept 3.89(0.06),\(p\)<.01 -0.04(0.01),\(p\)<.01
age –,\(p\)= —- –,\(p\)= —-
education 1.00(0.07),\(p\)<.01 -0.00(0.01),\(p\)=.56
height 0.02(0.00),\(p\)<.01 0.00(0.00),\(p\)=.71
smoking -0.21(0.06),\(p\)<.01 0.01(0.01),\(p\)=.05
cardio -0.12(0.12),\(p\)=.32 -0.01(0.01),\(p\)=.55
diabetes -0.38(0.16),\(p\)=.02 0.01(0.02),\(p\)=.63
word_de male 3,091 intercept 3.27(0.08),\(p\)<.01 0.00(0.01),\(p\)=.61
age –,\(p\)= —- –,\(p\)= —-
education 0.92(0.07),\(p\)<.01 -0.01(0.01),\(p\)=.18
height 0.02(0.00),\(p\)<.01 0.00(0.00),\(p\)=.96
smoking 0.02(0.07),\(p\)=.71 -0.02(0.01),\(p\)=.02
cardio -0.06(0.10),\(p\)=.52 -0.03(0.01),\(p\)=.03
diabetes -0.28(0.11),\(p\)=.01 -0.01(0.02),\(p\)=.40
word_im female 3,511 intercept 5.29(0.05),\(p\)<.01 -0.04(0.01),\(p\)<.01
age –,\(p\)= —- –,\(p\)= —-
education 0.73(0.06),\(p\)<.01 0.01(0.01),\(p\)=.08
height 0.01(0.00),\(p\)=.05 0.00(0.00),\(p\)=.26
smoking -0.04(0.05),\(p\)=.49 -0.00(0.01),\(p\)=.58
cardio -0.20(0.10),\(p\)=.05 0.00(0.01),\(p\)=.78
diabetes -0.33(0.14),\(p\)=.02 0.01(0.02),\(p\)=.57
word_im male 3,091 intercept 4.87(0.07),\(p\)<.01 -0.03(0.01),\(p\)<.01
age –,\(p\)= —- –,\(p\)= —-
education 0.76(0.06),\(p\)<.01 -0.00(0.01),\(p\)=.95
height 0.01(0.00),\(p\)<.01 0.00(0.00),\(p\)=.10
smoking -0.00(0.06),\(p\)=.95 -0.02(0.01),\(p\)=.04
cardio -0.16(0.09),\(p\)=.07 -0.01(0.01),\(p\)=.66
diabetes -0.10(0.10),\(p\)=.32 -0.01(0.02),\(p\)=.51

hrs

Process Gender \(n\) species intercept slope
gait female 370 intercept 0.79(0.02),\(p\)<.01 -0.03(0.00),\(p\)<.01
age -0.01(0.00),\(p\)<.01 -0.00(0.00),\(p\)<.01
education 0.01(0.00),\(p\)<.01 0.00(0.00),\(p\)=.06
height 0.16(0.19),\(p\)=.38 -0.04(0.04),\(p\)=.39
smoking -0.04(0.04),\(p\)=.29 0.00(0.01),\(p\)=.75
cardio -0.03(0.02),\(p\)=.16 0.00(0.00),\(p\)=.89
diabetes -0.06(0.03),\(p\)=.02 0.00(0.01),\(p\)=.99
gait male 318 intercept 0.86(0.04),\(p\)<.01 -0.02(0.01),\(p\)=.02
age -0.01(0.00),\(p\)<.01 -0.00(0.00),\(p\)=.11
education 0.01(0.00),\(p\)=.03 0.00(0.00),\(p\)=.15
height 0.12(0.15),\(p\)=.45 -0.02(0.05),\(p\)=.72
smoking -0.06(0.05),\(p\)=.18 0.02(0.01),\(p\)=.04
cardio -0.01(0.02),\(p\)=.55 -0.00(0.01),\(p\)=.63
diabetes -0.07(0.03),\(p\)=.02 -0.01(0.01),\(p\)=.22
grip female 641 intercept 23.63(0.89),\(p\)<.01 -0.25(0.19),\(p\)=.19
age -0.29(0.07),\(p\)<.01 0.00(0.01),\(p\)=.95
education 0.22(0.18),\(p\)=.23 -0.05(0.04),\(p\)=.17
height 9.90(6.14),\(p\)=.11 1.83(1.28),\(p\)=.15
smoking -1.99(1.07),\(p\)=.06 0.11(0.22),\(p\)=.62
cardio -1.77(0.74),\(p\)=.02 -0.03(0.16),\(p\)=.87
diabetes -1.13(0.70),\(p\)=.10 0.03(0.15),\(p\)=.83
grip male 507 intercept 35.24(1.12),\(p\)<.01 -0.56(0.23),\(p\)=.02
age -0.51(0.05),\(p\)<.01 -0.01(0.01),\(p\)=.20
education 0.01(0.14),\(p\)=.95 -0.02(0.03),\(p\)=.55
height 25.64(4.96),\(p\)<.01 -0.77(1.01),\(p\)=.45
smoking 1.06(2.86),\(p\)=.71 -0.58(0.54),\(p\)=.27
cardio 0.23(0.89),\(p\)=.80 -0.04(0.17),\(p\)=.80
diabetes -2.04(0.80),\(p\)=.01 -0.20(0.19),\(p\)=.29
pef female 715 intercept 256.75(6.16),\(p\)<.01 -2.13(1.28),\(p\)=.10
age -3.83(0.24),\(p\)<.01 -0.26(0.04),\(p\)<.01
education 4.31(0.90),\(p\)<.01 -0.07(0.19),\(p\)=.73
height 100.52(45.84),\(p\)=.03 4.95(7.14),\(p\)=.49
smoking -47.12(8.79),\(p\)<.01 0.68(1.68),\(p\)=.68
cardio -9.67(6.63),\(p\)=.15 -0.59(1.26),\(p\)=.64
diabetes 7.60(7.00),\(p\)=.28 -1.39(1.27),\(p\)=.28
pef male 535 intercept 339.33(14.46),\(p\)<.01 -5.79(2.66),\(p\)=.03
age -4.54(0.48),\(p\)<.01 -0.33(0.08),\(p\)<.01
education 7.08(1.41),\(p\)<.01 -0.01(0.27),\(p\)=.96
height 198.80(63.02),\(p\)<.01 13.86(9.88),\(p\)=.16
smoking -56.14(15.15),\(p\)<.01 -0.22(2.10),\(p\)=.92
cardio 2.28(10.49),\(p\)=.83 -3.68(1.61),\(p\)=.02
diabetes -3.58(12.00),\(p\)=.76 -1.13(2.11),\(p\)=.59
serial7 female 641 intercept 2.24(0.15),\(p\)<.01 -0.07(0.02),\(p\)<.01
age -0.00(0.01),\(p\)=.58 -0.01(0.00),\(p\)<.01
education 0.23(0.02),\(p\)<.01 -0.01(0.00),\(p\)<.01
height 0.93(0.97),\(p\)=.40 0.17(0.13),\(p\)=.17
smoking 0.34(0.18),\(p\)=.08 -0.10(0.03),\(p\)<.01
cardio -0.21(0.16),\(p\)=.15 -0.03(0.02),\(p\)=.26
diabetes 0.20(0.17),\(p\)=.22 -0.04(0.03),\(p\)=.15
serial7 male 507 intercept 3.14(0.22),\(p\)<.01 -0.18(0.04),\(p\)<.01
age 0.01(0.01),\(p\)=.12 -0.01(0.00),\(p\)<.01
education 0.15(0.02),\(p\)<.01 -0.00(0.00),\(p\)=.11
height 0.68(0.85),\(p\)=.51 0.28(0.16),\(p\)=.09
smoking 0.14(0.17),\(p\)=.43 -0.10(0.03),\(p\)<.01
cardio -0.10(0.14),\(p\)=.45 -0.01(0.03),\(p\)=.85
diabetes -0.01(0.16),\(p\)=.72 -0.05(0.03),\(p\)=.10
tics female 641 intercept 8.08(0.25),\(p\)<.01 -0.08(0.04),\(p\)=.01
age 0.04(0.01),\(p\)<.01 0.01(0.00),\(p\)<.01
education 0.15(0.03),\(p\)<.01 -0.01(0.01),\(p\)=.05
height 0.85(1.12),\(p\)=.48 0.11(0.25),\(p\)=.67
smoking 0.82(0.32),\(p\)=.01 -0.22(0.07),\(p\)<.01
cardio -0.28(0.19),\(p\)=.14 -0.01(0.04),\(p\)=.71
diabetes 0.06(0.19),\(p\)=.61 0.05(0.04),\(p\)=.19
tics male 507 intercept 8.74(0.23),\(p\)<.01 -0.18(0.05),\(p\)<.01
age 0.02(0.01),\(p\)=.02 0.02(0.00),\(p\)<.01
education 0.09(0.02),\(p\)<.01 -0.01(0.00),\(p\)=.05
height 0.60(0.67),\(p\)=.33 0.18(0.21),\(p\)=.40
smoking 0.07(0.21),\(p\)=.67 -0.27(0.06),\(p\)<.01
cardio 0.06(0.10),\(p\)=.56 0.00(0.03),\(p\)=.88
diabetes 0.01(0.11),\(p\)=.58 -0.04(0.04),\(p\)=.27
word_de female 641 intercept 3.69(0.14),\(p\)<.01 -0.03(0.02),\(p\)=.17
age -0.07(0.01),\(p\)<.01 -0.01(0.00),\(p\)<.01
education 0.15(0.02),\(p\)<.01 -0.01(0.00),\(p\)=.03
height 0.63(0.98),\(p\)=.46 0.07(0.17),\(p\)=.60
smoking 0.20(0.19),\(p\)=.28 -0.09(0.03),\(p\)<.01
cardio -0.29(0.16),\(p\)=.06 -0.00(0.03),\(p\)=.64
diabetes -0.29(0.17),\(p\)=.07 -0.02(0.03),\(p\)=.45
word_de male 507 intercept 2.97(0.20),\(p\)<.01 -0.07(0.03),\(p\)=.03
age -0.05(0.01),\(p\)<.01 -0.00(0.00),\(p\)<.01
education 0.16(0.02),\(p\)<.01 -0.00(0.00),\(p\)=.14
height 1.49(0.83),\(p\)=.06 -0.06(0.15),\(p\)=.71
smoking -0.21(0.19),\(p\)=.26 -0.04(0.03),\(p\)=.20
cardio -0.17(0.14),\(p\)=.21 0.01(0.02),\(p\)=.82
diabetes -0.40(0.18),\(p\)=.04 0.02(0.03),\(p\)=.47
word_im female 641 intercept 4.83(0.12),\(p\)<.01 -0.08(0.02),\(p\)<.01
age -0.05(0.00),\(p\)<.01 -0.00(0.00),\(p\)<.01
education 0.14(0.02),\(p\)<.01 -0.00(0.00),\(p\)=.51
height 0.63(0.77),\(p\)=.36 0.16(0.14),\(p\)=.20
smoking 0.05(0.15),\(p\)=.76 -0.04(0.03),\(p\)=.09
cardio -0.21(0.13),\(p\)=.12 -0.01(0.02),\(p\)=.66
diabetes -0.20(0.13),\(p\)=.15 -0.01(0.02),\(p\)=.62
word_im male 507 intercept 4.32(0.17),\(p\)<.01 -0.10(0.03),\(p\)<.01
age -0.05(0.01),\(p\)<.01 -0.00(0.00),\(p\)<.01
education 0.13(0.02),\(p\)<.01 0.00(0.00),\(p\)=.69
height 1.35(0.77),\(p\)=.09 -0.04(0.14),\(p\)=.74
smoking -0.38(0.15),\(p\)=.04 0.02(0.03),\(p\)=.50
cardio 0.03(0.12),\(p\)=.84 -0.04(0.02),\(p\)=.13
diabetes -0.32(0.16),\(p\)=.03 0.00(0.03),\(p\)=.94

ilse

Process Gender \(n\) species intercept slope
block female 225 intercept 19.53(4.80),\(p\)<.01 -0.17(0.44),\(p\)=.70
age -0.64(0.67),\(p\)=.34 0.02(0.06),\(p\)=.73
education 5.61(1.15),\(p\)<.01 -0.03(0.10),\(p\)=.78
height -0.01(0.10),\(p\)=.95 0.00(0.01),\(p\)=.89
smoking -2.39(1.18),\(p\)=.04 -0.02(0.10),\(p\)=.82
cardio 1.01(1.24),\(p\)=.41 0.11(0.11),\(p\)=.35
diabetes –,\(p\)= —- –,\(p\)= —-
block male 252 intercept 22.73(3.92),\(p\)<.01 -0.75(0.45),\(p\)=.10
age -0.43(0.54),\(p\)=.43 -0.06(0.06),\(p\)=.29
education 6.06(1.15),\(p\)<.01 -0.20(0.11),\(p\)=.07
height 0.15(0.08),\(p\)=.06 0.00(0.01),\(p\)=.96
smoking -1.28(1.16),\(p\)=.27 0.04(0.12),\(p\)=.76
cardio -0.54(1.11),\(p\)=.62 -0.17(0.11),\(p\)=.12
diabetes –,\(p\)= —- –,\(p\)= —-
fluency female 225 intercept 24.11(5.27),\(p\)<.01 -0.18(0.51),\(p\)=.73
age -0.68(0.73),\(p\)=.35 -0.01(0.07),\(p\)=.92
education 6.29(1.29),\(p\)<.01 0.12(0.12),\(p\)=.32
height -0.04(0.11),\(p\)=.74 0.01(0.01),\(p\)=.38
smoking 0.15(1.25),\(p\)=.91 0.01(0.12),\(p\)=.95
cardio -0.96(1.42),\(p\)=.50 -0.01(0.14),\(p\)=.96
diabetes –,\(p\)= —- –,\(p\)= —-
fluency male 252 intercept 23.80(4.66),\(p\)<.01 -0.08(0.46),\(p\)=.87
age -0.32(0.66),\(p\)=.62 0.01(0.06),\(p\)=.89
education 5.43(1.20),\(p\)<.01 0.00(0.12),\(p\)=.98
height 0.15(0.09),\(p\)=.10 -0.01(0.01),\(p\)=.37
smoking -0.52(1.29),\(p\)=.68 -0.04(0.12),\(p\)=.73
cardio 0.51(1.24),\(p\)=.68 0.11(0.13),\(p\)=.43
diabetes –,\(p\)= —- –,\(p\)= —-
grip female 225 intercept 87.69(13.71),\(p\)<.01 -6.66(2.28),\(p\)<.01
age 2.80(1.85),\(p\)=.13 -0.58(0.31),\(p\)=.06
education -3.04(3.56),\(p\)=.39 0.64(0.50),\(p\)=.20
height 0.63(0.32),\(p\)=.05 -0.02(0.04),\(p\)=.72
smoking -4.92(3.80),\(p\)=.19 0.33(0.54),\(p\)=.54
cardio 1.97(4.35),\(p\)=.65 -0.14(0.64),\(p\)=.82
diabetes –,\(p\)= —- –,\(p\)= —-
grip male 252 intercept 94.65(12.76),\(p\)<.01 -2.79(1.58),\(p\)=.08
age 0.91(1.65),\(p\)=.58 -0.06(0.21),\(p\)=.77
education 0.99(3.49),\(p\)=.78 0.05(0.51),\(p\)=.91
height 0.63(0.26),\(p\)=.02 -0.04(0.04),\(p\)=.20
smoking -3.38(3.74),\(p\)=.37 0.59(0.47),\(p\)=.21
cardio -2.58(3.77),\(p\)=.49 0.56(0.50),\(p\)=.25
diabetes –,\(p\)= —- –,\(p\)= —-
piccomp female 225 intercept 10.16(3.03),\(p\)<.01 0.20(0.29),\(p\)=.54
age -0.67(0.41),\(p\)=.28 0.05(0.04),\(p\)=.24
education 2.85(0.82),\(p\)<.01 0.10(0.08),\(p\)=.41
height 0.02(0.07),\(p\)=.62 -0.00(0.01),\(p\)=.08
smoking -0.65(0.75),\(p\)=.37 -0.01(0.08),\(p\)=.40
cardio -0.61(0.82),\(p\)=.46 -0.02(0.08),\(p\)=.47
diabetes –,\(p\)= —- –,\(p\)= —-
piccomp male 252 intercept 16.54(2.53),\(p\)<.01 -0.35(0.28),\(p\)=.44
age 0.02(0.35),\(p\)=.95 -0.03(0.04),\(p\)=.53
education 2.69(0.76),\(p\)<.01 -0.06(0.08),\(p\)=.39
height 0.06(0.05),\(p\)=.25 0.00(0.01),\(p\)=.61
smoking 0.12(0.70),\(p\)=.61 0.02(0.07),\(p\)=.22
cardio -0.29(0.68),\(p\)=.67 -0.01(0.08),\(p\)=.58
diabetes –,\(p\)= —- –,\(p\)= —-
symbol female 225 intercept 38.17(6.61),\(p\)<.01 0.03(0.38),\(p\)=.95
age -0.62(0.92),\(p\)=.50 0.06(0.05),\(p\)=.28
education 8.91(1.57),\(p\)<.01 -0.09(0.10),\(p\)=.35
height 0.06(0.13),\(p\)=.63 0.00(0.01),\(p\)=.52
smoking -0.14(1.53),\(p\)=.92 -0.06(0.10),\(p\)=.51
cardio -0.79(1.87),\(p\)=.67 -0.03(0.10),\(p\)=.80
diabetes –,\(p\)= —- –,\(p\)= —-
symbol male 252 intercept 37.51(5.54),\(p\)<.01 0.03(0.51),\(p\)=.96
age -0.06(0.75),\(p\)=.94 0.06(0.07),\(p\)=.39
education 8.78(1.48),\(p\)<.01 -0.06(0.12),\(p\)=.61
height 0.19(0.10),\(p\)=.06 -0.01(0.01),\(p\)=.58
smoking 0.11(1.56),\(p\)=.95 -0.02(0.13),\(p\)=.88
cardio -0.44(1.49),\(p\)=.77 -0.04(0.13),\(p\)=.75
diabetes –,\(p\)= —- –,\(p\)= —-
tug female 225 intercept 4.79(1.62),\(p\)<.01 0.21(0.20),\(p\)=.30
age -0.16(0.22),\(p\)=.48 0.00(0.03),\(p\)=.92
education -0.48(0.38),\(p\)=.20 0.05(0.05),\(p\)=.38
height 0.01(0.03),\(p\)=.76 0.00(0.00),\(p\)=.88
smoking -0.23(0.38),\(p\)=.55 0.05(0.05),\(p\)=.33
cardio 0.66(0.40),\(p\)=.10 -0.04(0.05),\(p\)=.41
diabetes –,\(p\)= —- –,\(p\)= —-
tug male 252 intercept 4.82(1.12),\(p\)<.01 0.28(0.18),\(p\)=.12
age -0.04(0.16),\(p\)=.82 0.01(0.02),\(p\)=.76
education -0.18(0.27),\(p\)=.51 0.01(0.04),\(p\)=.77
height -0.02(0.02),\(p\)=.29 0.00(0.00),\(p\)=.80
smoking 0.04(0.31),\(p\)=.89 -0.02(0.04),\(p\)=.69
cardio 0.46(0.27),\(p\)=.10 0.02(0.05),\(p\)=.70
diabetes –,\(p\)= —- –,\(p\)= —-
waisgeneral female 225 intercept 12.01(2.21),\(p\)<.01 0.35(0.17),\(p\)=.04
age -0.08(0.30),\(p\)=.80 0.04(0.02),\(p\)=.08
education 4.27(0.70),\(p\)<.01 -0.02(0.05),\(p\)=.71
height 0.05(0.05),\(p\)=.31 0.00(0.00),\(p\)=.55
smoking -0.28(0.60),\(p\)=.63 0.01(0.05),\(p\)=.81
cardio -0.07(0.65),\(p\)=.92 -0.04(0.05),\(p\)=.44
diabetes –,\(p\)= —- –,\(p\)= —-
waisgeneral male 252 intercept 14.29(2.11),\(p\)<.01 0.04(0.19),\(p\)=.84
age -0.24(0.30),\(p\)=.42 0.01(0.03),\(p\)=.79
education 3.46(0.69),\(p\)<.01 -0.06(0.05),\(p\)=.22
height 0.02(0.04),\(p\)=.65 0.00(0.00),\(p\)=.30
smoking -0.33(0.57),\(p\)=.57 0.03(0.04),\(p\)=.50
cardio 0.73(0.55),\(p\)=.19 -0.06(0.04),\(p\)=.20
diabetes –,\(p\)= —- –,\(p\)= —-

lasa

Process Gender \(n\) species intercept slope
gait female 782 intercept 7.77(0.17),\(p\)<.01 0.42(0.05),\(p\)<.01
age 0.14(0.02),\(p\)<.01 0.04(0.01),\(p\)<.01
education -0.05(0.04),\(p\)=.17 -0.01(0.01),\(p\)=.39
height -0.02(0.02),\(p\)=.24 0.01(0.00),\(p\)=.01
smoking 0.29(0.28),\(p\)=.30 0.07(0.05),\(p\)=.16
cardio 1.16(0.34),\(p\)<.01 0.01(0.06),\(p\)=.86
diabetes 1.82(0.86),\(p\)=.03 0.15(0.16),\(p\)=.35
gait male 800 intercept 7.20(0.14),\(p\)<.01 0.42(0.06),\(p\)<.01
age 0.08(0.01),\(p\)<.01 0.03(0.00),\(p\)<.01
education -0.07(0.02),\(p\)=.01 -0.01(0.00),\(p\)=.01
height -0.02(0.01),\(p\)=.12 0.00(0.00),\(p\)=.85
smoking 0.08(0.21),\(p\)=.71 0.03(0.05),\(p\)=.52
cardio 0.29(0.21),\(p\)=.16 -0.02(0.05),\(p\)=.67
diabetes 0.32(0.40),\(p\)=.43 0.10(0.13),\(p\)=.44
grip female 782 intercept 19.43(0.28),\(p\)<.01 -0.28(0.03),\(p\)<.01
age -0.31(0.02),\(p\)<.01 -0.01(0.00),\(p\)<.01
education 0.08(0.06),\(p\)=.14 -0.00(0.00),\(p\)=.39
height 0.17(0.03),\(p\)<.01 -0.00(0.00),\(p\)=.42
smoking -0.58(0.52),\(p\)=.26 -0.05(0.05),\(p\)=.33
cardio -0.35(0.44),\(p\)=.42 -0.02(0.04),\(p\)=.54
diabetes -1.94(0.77),\(p\)=.01 -0.05(0.08),\(p\)=.58
grip male 800 intercept 34.02(0.49),\(p\)<.01 -0.61(0.06),\(p\)<.01
age -0.46(0.04),\(p\)<.01 -0.03(0.00),\(p\)<.01
education -0.10(0.08),\(p\)=.24 0.01(0.01),\(p\)=.20
height 0.22(0.04),\(p\)<.01 -0.00(0.00),\(p\)=.42
smoking 0.26(0.62),\(p\)=.67 -0.11(0.06),\(p\)=.06
cardio 0.37(0.61),\(p\)=.55 -0.05(0.06),\(p\)=.43
diabetes -2.94(1.44),\(p\)=.04 -0.30(0.12),\(p\)=.02
letter female 782 intercept 24.26(0.35),\(p\)<.01 -0.35(0.02),\(p\)<.01
age -0.33(0.03),\(p\)<.01 -0.01(0.00),\(p\)<.01
education 0.85(0.07),\(p\)<.01 -0.00(0.00),\(p\)=.29
height 0.08(0.03),\(p\)=.01 -0.00(0.00),\(p\)=.66
smoking -0.63(0.54),\(p\)=.28 0.01(0.03),\(p\)=.73
cardio -1.05(0.55),\(p\)=.06 0.01(0.04),\(p\)=.78
diabetes -0.79(1.00),\(p\)=.43 -0.10(0.10),\(p\)=.28
letter male 800 intercept 22.82(0.35),\(p\)<.01 -0.38(0.03),\(p\)<.01
age -0.31(0.02),\(p\)<.01 -0.01(0.00),\(p\)<.01
education 0.76(0.06),\(p\)<.01 -0.01(0.00),\(p\)=.08
height 0.10(0.03),\(p\)<.01 0.00(0.00),\(p\)=.74
smoking -0.71(0.43),\(p\)=.10 -0.06(0.03),\(p\)=.06
cardio -0.35(0.45),\(p\)=.43 -0.02(0.03),\(p\)=.59
diabetes -2.03(0.94),\(p\)=.03 -0.06(0.07),\(p\)=.29
pef female 782 intercept 352.05(4.52),\(p\)<.01 -3.79(0.36),\(p\)<.01
age -4.50(0.36),\(p\)<.01 -0.14(0.03),\(p\)<.01
education 3.08(0.87),\(p\)<.01 -0.09(0.06),\(p\)=.18
height 2.52(0.41),\(p\)<.01 -0.04(0.03),\(p\)=.21
smoking -30.62(6.89),\(p\)<.01 -0.82(0.47),\(p\)=.08
cardio -12.34(7.36),\(p\)=.09 0.03(0.52),\(p\)=.95
diabetes -3.75(12.47),\(p\)=.76 -0.91(1.15),\(p\)=.43
pef male 800 intercept 468.42(6.54),\(p\)<.01 -5.31(0.55),\(p\)<.01
age -6.52(0.47),\(p\)<.01 -0.16(0.04),\(p\)<.01
education 4.45(1.11),\(p\)<.01 -0.06(0.09),\(p\)=.47
height 3.18(0.50),\(p\)<.01 -0.02(0.04),\(p\)=.55
smoking -52.98(7.94),\(p\)<.01 -1.86(0.62),\(p\)<.01
cardio -0.76(8.45),\(p\)=.93 -1.30(0.68),\(p\)=.06
diabetes 1.14(14.27),\(p\)=.94 -1.55(1.47),\(p\)=.29
raven female 782 intercept 17.80(0.18),\(p\)<.01 -0.16(0.02),\(p\)<.01
age -0.15(0.01),\(p\)<.01 -0.00(0.00),\(p\)<.01
education 0.40(0.03),\(p\)<.01 0.00(0.00),\(p\)=.80
height 0.01(0.02),\(p\)=.70 0.00(0.00),\(p\)=.83
smoking -0.66(0.28),\(p\)=.02 0.02(0.02),\(p\)=.42
cardio -0.04(0.29),\(p\)=.90 -0.04(0.03),\(p\)=.09
diabetes -0.84(0.56),\(p\)=.14 -0.08(0.06),\(p\)=.12
raven male 800 intercept 17.64(0.19),\(p\)<.01 -0.17(0.02),\(p\)<.01
age -0.15(0.01),\(p\)<.01 -0.01(0.00),\(p\)<.01
education 0.36(0.03),\(p\)<.01 -0.00(0.00),\(p\)=.69
height 0.06(0.02),\(p\)<.01 0.00(0.00),\(p\)=.72
smoking -0.24(0.24),\(p\)=.32 0.00(0.02),\(p\)=.79
cardio -0.45(0.25),\(p\)=.07 0.00(0.02),\(p\)=.76
diabetes -0.97(0.50),\(p\)=.05 -0.05(0.05),\(p\)=.34
word_im female 782 intercept 21.11(0.28),\(p\)<.01 -0.31(0.03),\(p\)<.01
age -0.29(0.02),\(p\)<.01 0.00(0.00),\(p\)=.15
education 0.48(0.05),\(p\)<.01 -0.01(0.00),\(p\)=.23
height 0.01(0.03),\(p\)=.59 0.00(0.00),\(p\)=.33
smoking -0.50(0.49),\(p\)=.30 -0.03(0.04),\(p\)=.43
cardio -0.60(0.48),\(p\)=.21 -0.00(0.05),\(p\)=.95
diabetes -0.97(0.79),\(p\)=.23 -0.05(0.08),\(p\)=.53
word_im male 800 intercept 17.65(0.28),\(p\)<.01 -0.22(0.03),\(p\)<.01
age -0.25(0.02),\(p\)<.01 -0.00(0.00),\(p\)=.22
education 0.41(0.05),\(p\)<.01 -0.01(0.00),\(p\)=.03
height 0.03(0.02),\(p\)=.25 0.00(0.00),\(p\)=.43
smoking -0.35(0.37),\(p\)=.34 -0.04(0.04),\(p\)=.24
cardio 0.08(0.36),\(p\)=.83 -0.00(0.04),\(p\)=.91
diabetes -0.95(0.72),\(p\)=.18 -0.21(0.07),\(p\)<.01

map

Process Gender \(n\) species intercept slope
bnt female 1,010 intercept 13.47(0.16),\(p\)<.01 0.09(0.04),\(p\)=.02
age -0.02(0.00),\(p\)<.01 -0.00(0.00),\(p\)=.15
education 0.09(0.02),\(p\)<.01 -0.01(0.00),\(p\)=.06
height 2.69(0.67),\(p\)<.01 -0.29(0.15),\(p\)=.06
smoking -0.01(0.08),\(p\)=.91 -0.00(0.02),\(p\)=.92
cardio -0.12(0.22),\(p\)=.59 0.03(0.05),\(p\)=.60
diabetes -0.37(0.17),\(p\)=.03 0.04(0.05),\(p\)=.36
bnt male 351 intercept 13.76(0.29),\(p\)<.01 0.05(0.05),\(p\)=.25
age -0.03(0.02),\(p\)=.07 0.00(0.00),\(p\)=.06
education 0.06(0.02),\(p\)<.01 -0.01(0.00),\(p\)=.16
height 2.52(0.78),\(p\)<.01 -0.47(0.18),\(p\)=.01
smoking 0.06(0.13),\(p\)=.66 -0.01(0.02),\(p\)=.76
cardio 0.01(0.19),\(p\)=.97 -0.03(0.04),\(p\)=.55
diabetes 0.02(0.14),\(p\)=.89 0.04(0.04),\(p\)=.33
bstory_de female 1,010 intercept 8.98(0.16),\(p\)<.01 0.07(0.06),\(p\)=.30
age -0.03(0.01),\(p\)<.01 -0.01(0.00),\(p\)<.01
education 0.09(0.02),\(p\)<.01 -0.00(0.01),\(p\)=.58
height 0.40(0.68),\(p\)=.56 0.31(0.30),\(p\)=.30
smoking 0.00(0.10),\(p\)=.96 -0.07(0.04),\(p\)=.09
cardio -0.26(0.22),\(p\)=.22 0.12(0.09),\(p\)=.16
diabetes -0.11(0.16),\(p\)=.48 0.06(0.07),\(p\)=.39
bstory_de male 351 intercept 8.94(0.34),\(p\)<.01 -0.08(0.11),\(p\)=.49
age -0.07(0.01),\(p\)<.01 0.01(0.00),\(p\)=.03
education 0.10(0.03),\(p\)<.01 -0.01(0.01),\(p\)=.21
height 0.76(1.48),\(p\)=.61 0.74(0.53),\(p\)=.16
smoking 0.00(0.20),\(p\)=.99 -0.06(0.07),\(p\)=.36
cardio 0.06(0.26),\(p\)=.83 0.11(0.09),\(p\)=.22
diabetes -0.17(0.26),\(p\)=.53 0.10(0.08),\(p\)=.27
bstory_im female 1,010 intercept 9.37(0.16),\(p\)<.01 -0.03(0.06),\(p\)=.59
age -0.03(0.01),\(p\)<.01 -0.00(0.00),\(p\)=.10
education 0.08(0.02),\(p\)<.01 0.01(0.01),\(p\)=.34
height 0.84(0.71),\(p\)=.24 0.24(0.26),\(p\)=.36
smoking 0.03(0.10),\(p\)=.74 -0.05(0.04),\(p\)=.22
cardio -0.13(0.20),\(p\)=.51 -0.03(0.08),\(p\)=.70
diabetes 0.13(0.15),\(p\)=.39 -0.00(0.05),\(p\)=.98
bstory_im male 351 intercept 9.44(0.29),\(p\)<.01 -0.07(0.10),\(p\)=.52
age -0.06(0.01),\(p\)<.01 0.01(0.00),\(p\)=.01
education 0.07(0.03),\(p\)=.01 -0.01(0.01),\(p\)=.36
height 1.72(1.19),\(p\)=.15 -0.24(0.47),\(p\)=.61
smoking 0.13(0.16),\(p\)=.43 -0.06(0.06),\(p\)=.36
cardio 0.08(0.24),\(p\)=.72 -0.01(0.09),\(p\)=.93
diabetes -0.03(0.23),\(p\)=.90 0.02(0.08),\(p\)=.79
categories female 1,010 intercept 32.92(0.76),\(p\)<.01 -0.05(0.21),\(p\)=.83
age -0.26(0.03),\(p\)<.01 -0.03(0.01),\(p\)<.01
education 0.78(0.08),\(p\)<.01 0.00(0.03),\(p\)=.96
height 12.73(3.54),\(p\)<.01 0.28(0.97),\(p\)=.78
smoking -1.49(0.46),\(p\)<.01 0.12(0.13),\(p\)=.36
cardio -1.51(0.78),\(p\)=.05 -0.21(0.27),\(p\)=.43
diabetes -0.65(0.78),\(p\)=.41 -0.08(0.24),\(p\)=.73
categories male 351 intercept 31.35(1.34),\(p\)<.01 0.37(0.35),\(p\)=.29
age -0.32(0.06),\(p\)<.01 -0.03(0.02),\(p\)=.08
education 0.51(0.12),\(p\)<.01 -0.04(0.03),\(p\)=.28
height 13.70(6.24),\(p\)=.03 0.76(1.61),\(p\)=.64
smoking -0.77(0.76),\(p\)=.31 0.05(0.22),\(p\)=.83
cardio -0.22(1.10),\(p\)=.84 0.17(0.34),\(p\)=.61
diabetes 0.23(1.12),\(p\)=.84 -0.57(0.30),\(p\)=.06
digit_b female 1,010 intercept 5.19(0.18),\(p\)<.01 -0.01(0.05),\(p\)=.90
age 0.00(0.01),\(p\)=.66 0.00(0.00),\(p\)=.78
education 0.15(0.02),\(p\)<.01 -0.00(0.00),\(p\)=.33
height 3.16(0.82),\(p\)<.01 0.12(0.24),\(p\)=.63
smoking 0.00(0.11),\(p\)=.98 0.00(0.03),\(p\)=.93
cardio -0.61(0.18),\(p\)<.01 0.21(0.07),\(p\)<.01
diabetes 0.04(0.20),\(p\)=.85 -0.03(0.07),\(p\)=.65
digit_b male 351 intercept 5.04(0.31),\(p\)<.01 0.04(0.10),\(p\)=.68
age -0.04(0.02),\(p\)<.01 -0.00(0.00),\(p\)=.74
education 0.18(0.03),\(p\)<.01 -0.00(0.01),\(p\)=.96
height -0.78(1.22),\(p\)=.52 0.39(0.42),\(p\)=.36
smoking 0.12(0.17),\(p\)=.50 -0.00(0.05),\(p\)=.94
cardio 0.16(0.24),\(p\)=.51 -0.07(0.08),\(p\)=.38
diabetes -0.02(0.24),\(p\)=.92 -0.04(0.07),\(p\)=.62
digit_f female 1,010 intercept 7.28(0.20),\(p\)<.01 0.04(0.06),\(p\)=.45
age 0.00(0.01),\(p\)=.55 -0.00(0.00),\(p\)=.71
education 0.14(0.02),\(p\)<.01 -0.00(0.01),\(p\)=.41
height 3.13(0.82),\(p\)<.01 -0.21(0.26),\(p\)=.40
smoking 0.00(0.11),\(p\)=.97 -0.01(0.03),\(p\)=.74
cardio 0.03(0.22),\(p\)=.90 -0.10(0.06),\(p\)=.11
diabetes 0.04(0.19),\(p\)=.84 -0.01(0.06),\(p\)=.79
digit_f male 351 intercept 7.23(0.29),\(p\)<.01 0.01(0.09),\(p\)=.93
age -0.04(0.01),\(p\)<.01 0.00(0.00),\(p\)=.80
education 0.19(0.02),\(p\)<.01 -0.01(0.01),\(p\)=.39
height -1.30(1.48),\(p\)=.38 0.12(0.47),\(p\)=.80
smoking 0.32(0.17),\(p\)=.06 0.02(0.05),\(p\)=.77
cardio 0.19(0.25),\(p\)=.43 -0.05(0.08),\(p\)=.55
diabetes -0.38(0.27),\(p\)=.16 0.10(0.07),\(p\)=.17
digit_o female 1,010 intercept 6.50(0.16),\(p\)<.01 0.07(0.05),\(p\)=.15
age -0.00(0.01),\(p\)=.53 -0.00(0.00),\(p\)=.13
education 0.12(0.02),\(p\)<.01 -0.01(0.00),\(p\)=.24
height 1.69(0.59),\(p\)<.01 0.20(0.21),\(p\)=.35
smoking -0.06(0.08),\(p\)=.46 -0.04(0.03),\(p\)=.22
cardio -0.11(0.15),\(p\)=.48 -0.07(0.06),\(p\)=.27
diabetes -0.14(0.15),\(p\)=.37 0.06(0.04),\(p\)=.18
digit_o male 351 intercept 6.85(0.25),\(p\)<.01 -0.10(0.08),\(p\)=.21
age -0.05(0.01),\(p\)<.01 -0.00(0.00),\(p\)=.88
education 0.10(0.02),\(p\)<.01 0.00(0.01),\(p\)=.78
height 2.30(1.03),\(p\)=.03 0.20(0.37),\(p\)=.59
smoking 0.07(0.13),\(p\)=.57 0.03(0.04),\(p\)=.45
cardio -0.06(0.20),\(p\)=.77 0.03(0.07),\(p\)=.72
diabetes -0.13(0.20),\(p\)=.52 0.03(0.06),\(p\)=.65
fev female 1,010 intercept 1.68(0.04),\(p\)<.01 -0.04(0.01),\(p\)<.01
age -0.02(0.00),\(p\)<.01 0.00(0.00),\(p\)=.08
education 0.01(0.00),\(p\)<.01 0.00(0.00),\(p\)=.96
height 1.63(0.22),\(p\)<.01 -0.07(0.04),\(p\)=.09
smoking -0.09(0.02),\(p\)<.01 0.00(0.00),\(p\)=.69
cardio -0.06(0.05),\(p\)=.23 -0.01(0.01),\(p\)=.15
diabetes -0.03(0.04),\(p\)=.40 -0.01(0.01),\(p\)=.51
fev male 351 intercept 2.40(0.11),\(p\)<.01 -0.08(0.02),\(p\)<.01
age -0.03(0.00),\(p\)<.01 0.00(0.00),\(p\)=.79
education 0.02(0.01),\(p\)=.04 0.00(0.00),\(p\)=.96
height 1.70(0.45),\(p\)<.01 0.10(0.12),\(p\)=.43
smoking -0.22(0.07),\(p\)<.01 0.04(0.01),\(p\)=.01
cardio -0.09(0.09),\(p\)=.32 -0.02(0.02),\(p\)=.17
diabetes -0.24(0.08),\(p\)<.01 0.04(0.02),\(p\)=.05
grip female 1,010 intercept 43.70(1.26),\(p\)<.01 -0.40(0.32),\(p\)=.20
age -0.59(0.05),\(p\)<.01 -0.02(0.01),\(p\)=.06
education 0.38(0.13),\(p\)<.01 -0.07(0.03),\(p\)=.04
height 39.39(4.23),\(p\)<.01 -1.16(1.18),\(p\)=.32
smoking 0.37(0.67),\(p\)=.58 -0.01(0.17),\(p\)=.96
cardio 0.54(1.40),\(p\)=.70 0.13(0.29),\(p\)=.64
diabetes -0.04(1.21),\(p\)=.97 -0.29(0.28),\(p\)=.31
grip male 351 intercept 79.54(3.05),\(p\)<.01 -2.47(0.90),\(p\)=.01
age -1.00(0.13),\(p\)<.01 -0.03(0.04),\(p\)=.37
education -0.02(0.27),\(p\)=.92 0.09(0.07),\(p\)=.17
height 83.53(11.29),\(p\)<.01 -3.39(3.54),\(p\)=.34
smoking -0.15(2.00),\(p\)=.94 0.04(0.46),\(p\)=.93
cardio -6.21(2.75),\(p\)=.02 0.86(0.64),\(p\)=.18
diabetes -6.40(2.33),\(p\)=.01 1.18(0.52),\(p\)=.02
ideas female 1,010 intercept 7.56(0.06),\(p\)<.01 0.02(0.02),\(p\)=.34
age 0.00(0.00),\(p\)=.11 0.00(0.00),\(p\)=.64
education 0.02(0.00),\(p\)<.01 -0.00(0.00),\(p\)=.37
height 0.38(0.23),\(p\)=.10 0.07(0.09),\(p\)=.43
smoking -0.03(0.03),\(p\)=.32 0.02(0.01),\(p\)=.12
cardio -0.05(0.06),\(p\)=.42 0.02(0.02),\(p\)=.45
diabetes -0.11(0.06),\(p\)=.07 0.02(0.02),\(p\)=.44
ideas male 351 intercept 7.78(0.09),\(p\)<.01 -0.04(0.05),\(p\)=.42
age -0.01(0.01),\(p\)=.20 0.00(0.00),\(p\)=.08
education 0.01(0.01),\(p\)=.11 -0.00(0.00),\(p\)=.65
height 0.59(0.42),\(p\)=.16 0.00(0.16),\(p\)=.93
smoking -0.04(0.06),\(p\)=.45 0.03(0.02),\(p\)=.21
cardio 0.05(0.07),\(p\)=.51 0.01(0.02),\(p\)=.70
diabetes -0.07(0.08),\(p\)=.40 0.02(0.03),\(p\)=.52
line female 1,010 intercept 8.16(0.30),\(p\)<.01 -0.04(0.08),\(p\)=.65
age -0.01(0.01),\(p\)=.27 0.00(0.00),\(p\)=.99
education 0.24(0.03),\(p\)<.01 0.00(0.01),\(p\)=.81
height 3.05(1.28),\(p\)=.02 0.28(0.36),\(p\)=.44
smoking -0.28(0.16),\(p\)=.09 0.06(0.05),\(p\)=.18
cardio 0.12(0.32),\(p\)=.71 -0.15(0.09),\(p\)=.07
diabetes -0.73(0.29),\(p\)=.01 0.06(0.09),\(p\)=.50
line male 351 intercept 10.35(0.51),\(p\)<.01 -0.13(0.15),\(p\)=.40
age -0.02(0.02),\(p\)=.30 0.01(0.01),\(p\)=.41
education 0.20(0.04),\(p\)<.01 0.00(0.01),\(p\)=.72
height 4.16(2.41),\(p\)=.08 0.78(0.66),\(p\)=.24
smoking -0.65(0.28),\(p\)=.02 0.07(0.08),\(p\)=.37
cardio -0.20(0.41),\(p\)=.64 0.12(0.14),\(p\)=.41
diabetes -0.17(0.38),\(p\)=.66 0.04(0.12),\(p\)=.74
logic_de female 1,010 intercept 8.49(0.37),\(p\)<.01 0.28(0.12),\(p\)=.02
age -0.10(0.02),\(p\)<.01 -0.01(0.00),\(p\)<.01
education 0.34(0.04),\(p\)<.01 0.03(0.01),\(p\)=.05
height 5.51(1.54),\(p\)<.01 0.27(0.56),\(p\)=.63
smoking -0.06(0.22),\(p\)=.80 -0.09(0.07),\(p\)=.21
cardio -0.29(0.51),\(p\)=.57 -0.02(0.15),\(p\)=.89
diabetes -0.40(0.36),\(p\)=.27 0.11(0.12),\(p\)=.35
logic_de male 351 intercept 7.95(0.74),\(p\)<.01 0.21(0.24),\(p\)=.37
age -0.14(0.03),\(p\)<.01 -0.00(0.01),\(p\)=.60
education 0.24(0.06),\(p\)<.01 0.01(0.02),\(p\)=.64
height 2.91(3.05),\(p\)=.34 0.61(0.96),\(p\)=.53
smoking -0.21(0.38),\(p\)=.59 0.11(0.12),\(p\)=.37
cardio 0.64(0.53),\(p\)=.23 0.01(0.19),\(p\)=.96
diabetes 0.90(0.50),\(p\)=.07 -0.00(0.18),\(p\)=.89
logic_im female 1,010 intercept 10.20(0.37),\(p\)<.01 0.26(0.12),\(p\)=.02
age -0.10(0.02),\(p\)<.01 -0.01(0.00),\(p\)=.06
education 0.34(0.04),\(p\)<.01 0.01(0.01),\(p\)=.42
height 4.38(1.42),\(p\)<.01 0.23(0.51),\(p\)=.66
smoking -0.20(0.22),\(p\)=.36 -0.05(0.07),\(p\)=.48
cardio -0.35(0.50),\(p\)=.48 0.07(0.14),\(p\)=.62
diabetes -0.27(0.36),\(p\)=.45 0.20(0.12),\(p\)=.10
logic_im male 351 intercept 9.53(0.72),\(p\)<.01 0.13(0.21),\(p\)=.54
age -0.14(0.03),\(p\)<.01 0.01(0.01),\(p\)=.31
education 0.24(0.06),\(p\)<.01 -0.00(0.02),\(p\)=.81
height 5.15(2.96),\(p\)=.08 -0.08(0.92),\(p\)=.93
smoking 0.09(0.38),\(p\)=.82 0.02(0.12),\(p\)=.86
cardio 0.47(0.53),\(p\)=.38 -0.10(0.17),\(p\)=.57
diabetes 0.49(0.49),\(p\)=.31 0.04(0.17),\(p\)=.80
matrices female 1,010 intercept 9.75(0.26),\(p\)<.01 0.03(0.09),\(p\)=.70
age -0.04(0.01),\(p\)<.01 -0.01(0.00),\(p\)<.01
education 0.32(0.02),\(p\)<.01 -0.00(0.01),\(p\)=.77
height 4.10(1.17),\(p\)<.01 0.36(0.36),\(p\)=.32
smoking -0.00(0.14),\(p\)=.99 -0.01(0.05),\(p\)=.80
cardio -0.39(0.28),\(p\)=.16 -0.01(0.11),\(p\)=.94
diabetes -0.34(0.26),\(p\)=.19 0.01(0.08),\(p\)=.87
matrices male 351 intercept 10.95(0.45),\(p\)<.01 0.05(0.14),\(p\)=.75
age -0.08(0.02),\(p\)<.01 -0.00(0.01),\(p\)=.51
education 0.24(0.04),\(p\)<.01 -0.01(0.01),\(p\)=.49
height 7.41(2.23),\(p\)<.01 0.19(0.75),\(p\)=.80
smoking -0.19(0.26),\(p\)=.45 0.04(0.07),\(p\)=.56
cardio 0.35(0.38),\(p\)=.36 0.08(0.15),\(p\)=.59
diabetes -0.10(0.40),\(p\)=.80 -0.03(0.13),\(p\)=.84
mmms female 1,010 intercept 27.66(0.16),\(p\)<.01 0.05(0.07),\(p\)=.45
age -0.04(0.01),\(p\)<.01 -0.01(0.00),\(p\)<.01
education 0.15(0.02),\(p\)<.01 -0.01(0.01),\(p\)=.06
height 1.54(0.63),\(p\)=.01 0.00(0.25),\(p\)=.94
smoking -0.09(0.09),\(p\)=.33 0.02(0.04),\(p\)=.60
cardio -0.13(0.17),\(p\)=.45 0.07(0.07),\(p\)=.32
diabetes -0.06(0.17),\(p\)=.73 0.04(0.07),\(p\)=.59
mmms male 351 intercept 27.30(0.30),\(p\)<.01 0.01(0.13),\(p\)=.93
age -0.08(0.02),\(p\)<.01 0.00(0.01),\(p\)=.51
education 0.14(0.03),\(p\)<.01 -0.01(0.01),\(p\)=.31
height 3.18(1.33),\(p\)=.02 -0.14(0.67),\(p\)=.84
smoking 0.16(0.19),\(p\)=.40 -0.02(0.07),\(p\)=.76
cardio 0.17(0.29),\(p\)=.55 -0.02(0.10),\(p\)=.84
diabetes -0.13(0.26),\(p\)=.60 0.12(0.11),\(p\)=.27
nart female 1,010 intercept 5.04(0.22),\(p\)<.01 0.04(0.04),\(p\)=.37
age 0.05(0.01),\(p\)<.01 -0.00(0.00),\(p\)=.33
education 0.33(0.02),\(p\)<.01 -0.00(0.00),\(p\)=.88
height 3.54(0.87),\(p\)<.01 0.03(0.16),\(p\)=.84
smoking 0.09(0.12),\(p\)=.45 0.00(0.02),\(p\)=.86
cardio -0.09(0.28),\(p\)=.74 -0.03(0.05),\(p\)=.55
diabetes -0.65(0.23),\(p\)<.01 -0.02(0.05),\(p\)=.64
nart male 351 intercept 4.89(0.40),\(p\)<.01 0.07(0.08),\(p\)=.35
age 0.00(0.02),\(p\)=.78 0.00(0.00),\(p\)=.97
education 0.34(0.03),\(p\)<.01 -0.01(0.01),\(p\)=.34
height 2.05(1.52),\(p\)=.18 0.00(0.29),\(p\)=.98
smoking 0.19(0.19),\(p\)=.32 0.06(0.03),\(p\)=.07
cardio -0.20(0.31),\(p\)=.51 -0.01(0.06),\(p\)=.85
diabetes -0.16(0.29),\(p\)=.57 -0.07(0.06),\(p\)=.25
num_comp female 1,010 intercept 23.14(0.77),\(p\)<.01 0.28(0.16),\(p\)=.09
age -0.18(0.03),\(p\)<.01 -0.03(0.01),\(p\)<.01
education 0.52(0.08),\(p\)<.01 -0.01(0.02),\(p\)=.43
height 13.79(2.93),\(p\)<.01 -0.13(0.72),\(p\)=.85
smoking -0.69(0.41),\(p\)=.10 -0.09(0.10),\(p\)=.35
cardio -0.70(0.84),\(p\)=.40 0.04(0.18),\(p\)=.83
diabetes -2.16(0.75),\(p\)<.01 0.20(0.21),\(p\)=.33
num_comp male 351 intercept 20.33(1.18),\(p\)<.01 0.27(0.31),\(p\)=.37
age -0.16(0.06),\(p\)=.01 -0.03(0.01),\(p\)=.03
education 0.54(0.10),\(p\)<.01 -0.04(0.03),\(p\)=.14
height 18.22(5.17),\(p\)<.01 -1.53(1.43),\(p\)=.29
smoking 0.39(0.70),\(p\)=.58 0.25(0.16),\(p\)=.11
cardio -0.34(1.00),\(p\)=.73 -0.00(0.22),\(p\)=.93
diabetes 1.95(0.91),\(p\)=.03 -0.41(0.22),\(p\)=.07
symbol female 1,010 intercept 35.44(1.05),\(p\)<.01 0.51(0.22),\(p\)=.02
age -0.37(0.04),\(p\)<.01 -0.06(0.01),\(p\)<.01
education 1.02(0.10),\(p\)<.01 -0.04(0.02),\(p\)=.06
height 14.77(3.91),\(p\)<.01 2.15(1.08),\(p\)=.05
smoking -0.77(0.56),\(p\)=.17 -0.17(0.14),\(p\)=.25
cardio -1.35(1.19),\(p\)=.26 0.13(0.26),\(p\)=.60
diabetes -3.06(1.01),\(p\)<.01 -0.27(0.27),\(p\)=.31
symbol male 351 intercept 35.99(1.71),\(p\)<.01 -0.09(0.42),\(p\)=.83
age -0.45(0.08),\(p\)<.01 -0.06(0.02),\(p\)<.01
education 0.78(0.16),\(p\)<.01 0.03(0.04),\(p\)=.37
height 25.56(6.92),\(p\)<.01 -0.64(1.89),\(p\)=.74
smoking -0.29(0.94),\(p\)=.75 -0.02(0.21),\(p\)=.94
cardio -0.75(1.22),\(p\)=.54 0.30(0.30),\(p\)=.33
diabetes -0.03(1.39),\(p\)=.98 -0.61(0.31),\(p\)=.06
word_de female 1,010 intercept 5.57(0.20),\(p\)<.01 0.13(0.06),\(p\)=.03
age -0.06(0.01),\(p\)<.01 -0.01(0.00),\(p\)<.01
education 0.14(0.02),\(p\)<.01 0.00(0.01),\(p\)=.80
height 2.74(0.86),\(p\)<.01 0.10(0.28),\(p\)=.72
smoking -0.34(0.12),\(p\)<.01 -0.01(0.04),\(p\)=.77
cardio -0.46(0.28),\(p\)=.10 0.02(0.07),\(p\)=.77
diabetes -0.09(0.19),\(p\)=.63 -0.02(0.05),\(p\)=.67
word_de male 351 intercept 4.99(0.33),\(p\)<.01 0.07(0.11),\(p\)=.53
age -0.11(0.01),\(p\)<.01 0.00(0.00),\(p\)=.35
education 0.13(0.03),\(p\)<.01 -0.01(0.01),\(p\)=.34
height 0.42(1.39),\(p\)=.76 0.16(0.49),\(p\)=.74
smoking -0.26(0.18),\(p\)=.16 0.03(0.06),\(p\)=.63
cardio 0.06(0.28),\(p\)=.83 0.04(0.07),\(p\)=.59
diabetes 0.30(0.29),\(p\)=.29 -0.07(0.08),\(p\)=.41
word_im female 1,010 intercept 16.83(0.39),\(p\)<.01 0.41(0.12),\(p\)<.01
age -0.11(0.02),\(p\)<.01 -0.01(0.00),\(p\)<.01
education 0.36(0.04),\(p\)<.01 -0.00(0.01),\(p\)=.77
height 5.11(1.62),\(p\)<.01 -0.04(0.52),\(p\)=.95
smoking -0.61(0.22),\(p\)=.01 -0.04(0.08),\(p\)=.57
cardio -0.67(0.51),\(p\)=.19 -0.02(0.15),\(p\)=.89
diabetes 0.12(0.42),\(p\)=.78 0.07(0.13),\(p\)=.56
word_im male 351 intercept 15.36(0.63),\(p\)<.01 0.26(0.20),\(p\)=.19
age -0.16(0.03),\(p\)<.01 0.01(0.01),\(p\)=.36
education 0.31(0.05),\(p\)<.01 -0.01(0.02),\(p\)=.52
height 0.69(2.32),\(p\)=.77 0.03(0.81),\(p\)=.94
smoking -0.29(0.30),\(p\)=.34 -0.05(0.11),\(p\)=.67
cardio 0.53(0.47),\(p\)=.26 -0.00(0.16),\(p\)=.99
diabetes 0.73(0.49),\(p\)=.14 -0.14(0.16),\(p\)=.40
word_rec female 1,010 intercept 9.75(0.09),\(p\)<.01 0.01(0.03),\(p\)=.80
age -0.01(0.00),\(p\)<.01 -0.00(0.00),\(p\)=.08
education 0.01(0.01),\(p\)=.19 0.00(0.00),\(p\)=.88
height 0.59(0.44),\(p\)=.18 0.16(0.12),\(p\)=.19
smoking -0.06(0.05),\(p\)=.20 0.00(0.02),\(p\)=.92
cardio -0.19(0.16),\(p\)=.25 0.03(0.02),\(p\)=.30
diabetes 0.02(0.10),\(p\)=.85 -0.00(0.02),\(p\)=.89
word_rec male 351 intercept 9.61(0.18),\(p\)<.01 0.08(0.06),\(p\)=.15
age -0.04(0.01),\(p\)<.01 0.00(0.00),\(p\)=.67
education 0.02(0.02),\(p\)=.17 -0.01(0.01),\(p\)=.34
height 1.11(0.83),\(p\)=.18 -0.56(0.27),\(p\)=.04
smoking -0.19(0.11),\(p\)=.09 0.01(0.03),\(p\)=.83
cardio -0.06(0.18),\(p\)=.76 0.08(0.05),\(p\)=.11
diabetes 0.20(0.17),\(p\)=.23 -0.06(0.06),\(p\)=.30

nuage

Process Gender \(n\) species intercept slope
grip female 934 intercept 60.57(1.12),\(p\)<.01 -2.18(0.28),\(p\)<.01
age -0.94(0.11),\(p\)<.01 0.02(0.03),\(p\)=.53
education 0.01(0.13),\(p\)=.95 -0.02(0.03),\(p\)=.57
height -10.95(8.00),\(p\)=.17 -0.94(2.01),\(p\)=.64
smoking 1.22(1.00),\(p\)=.23 0.47(0.25),\(p\)=.06
cardio 2.84(1.28),\(p\)=.03 -0.55(0.31),\(p\)=.08
diabetes 0.02(1.88),\(p\)=.99 -0.49(0.49),\(p\)=.32
grip male 847 intercept 80.72(1.37),\(p\)<.01 -2.36(0.29),\(p\)<.01
age -1.39(0.13),\(p\)<.01 -0.03(0.03),\(p\)=.36
education 0.13(0.12),\(p\)=.27 0.00(0.02),\(p\)=.99
height 59.47(7.30),\(p\)<.01 -0.67(1.65),\(p\)=.68
smoking 0.27(1.12),\(p\)=.81 -0.12(0.25),\(p\)=.62
cardio 1.38(1.22),\(p\)=.26 0.04(0.25),\(p\)=.88
diabetes -3.02(1.78),\(p\)=.09 -0.35(0.39),\(p\)=.37
mmms female 934 intercept 61.15(0.20),\(p\)<.01 -0.27(0.09),\(p\)=.01
age -0.15(0.02),\(p\)<.01 -0.04(0.01),\(p\)<.01
education 0.22(0.02),\(p\)<.01 0.00(0.01),\(p\)=.67
height 3.45(1.34),\(p\)=.43 -0.32(0.74),\(p\)=.74
smoking 0.07(0.17),\(p\)=.57 0.07(0.08),\(p\)=.36
cardio -0.12(0.21),\(p\)=.46 -0.06(0.10),\(p\)=.66
diabetes -0.55(0.32),\(p\)=.26 0.00(0.14),\(p\)=.86
mmms male 847 intercept 59.46(0.24),\(p\)<.01 -0.37(0.11),\(p\)<.01
age -0.10(0.02),\(p\)<.01 -0.03(0.01),\(p\)=.04
education 0.26(0.02),\(p\)<.01 0.02(0.01),\(p\)=.02
height 4.40(1.36),\(p\)<.01 0.84(0.62),\(p\)=.45
smoking 0.13(0.20),\(p\)=.49 -0.12(0.09),\(p\)=.19
cardio 0.20(0.22),\(p\)=.40 0.10(0.10),\(p\)=.37
diabetes 0.03(0.28),\(p\)=.91 -0.11(0.13),\(p\)=.44

octo

Process Gender \(n\) species intercept slope
block female 272 intercept 14.81(0.75),\(p\)<.01 -0.22(0.10),\(p\)=.07
age -0.60(0.14),\(p\)<.01 0.01(0.02),\(p\)=.73
education 0.78(0.19),\(p\)<.01 -0.04(0.03),\(p\)=.26
height -0.02(0.07),\(p\)=.80 0.01(0.01),\(p\)=.17
smoking -1.21(0.95),\(p\)=.16 0.06(0.14),\(p\)=.67
cardio -0.12(0.81),\(p\)=.88 -0.16(0.12),\(p\)=.19
diabetes 1.35(2.33),\(p\)=.56 -0.04(0.21),\(p\)=.71
block male 137 intercept 16.62(1.48),\(p\)<.01 -0.42(0.17),\(p\)=.01
age -0.49(0.22),\(p\)=.04 0.04(0.03),\(p\)=.19
education 0.63(0.19),\(p\)<.01 0.02(0.04),\(p\)=.61
height 0.15(0.09),\(p\)=.08 -0.01(0.01),\(p\)=.62
smoking -3.60(1.44),\(p\)=.01 0.02(0.15),\(p\)=.77
cardio -0.69(1.11),\(p\)=.54 -0.16(0.16),\(p\)=.34
diabetes -2.36(1.29),\(p\)=.05 0.24(0.30),\(p\)=.41
digit_b female 275 intercept 3.86(0.13),\(p\)<.01 -0.09(0.03),\(p\)<.01
age -0.10(0.02),\(p\)<.01 0.01(0.01),\(p\)=.14
education 0.12(0.04),\(p\)<.01 0.00(0.01),\(p\)=.98
height -0.00(0.01),\(p\)=.76 0.00(0.00),\(p\)=.61
smoking -0.32(0.19),\(p\)=.09 0.04(0.03),\(p\)=.12
cardio 0.06(0.14),\(p\)=.69 -0.03(0.03),\(p\)=.24
diabetes -0.09(0.30),\(p\)=.76 0.04(0.06),\(p\)=.47
digit_b male 139 intercept 3.95(0.28),\(p\)<.01 -0.06(0.09),\(p\)=.47
age -0.08(0.04),\(p\)=.08 0.00(0.01),\(p\)=.88
education 0.12(0.03),\(p\)<.01 -0.00(0.01),\(p\)=.62
height 0.00(0.02),\(p\)=.91 0.01(0.00),\(p\)=.10
smoking -0.19(0.28),\(p\)=.49 -0.03(0.08),\(p\)=.64
cardio -0.56(0.24),\(p\)=.02 0.09(0.06),\(p\)=.12
diabetes -0.30(0.43),\(p\)=.49 -0.03(0.12),\(p\)=.78
digit_f female 275 intercept 5.68(0.12),\(p\)<.01 -0.07(0.02),\(p\)<.01
age -0.08(0.02),\(p\)<.01 0.00(0.00),\(p\)=.52
education 0.14(0.03),\(p\)<.01 -0.01(0.00),\(p\)=.02
height 0.01(0.01),\(p\)=.46 -0.00(0.00),\(p\)=.32
smoking -0.15(0.14),\(p\)=.29 0.04(0.03),\(p\)=.11
cardio 0.05(0.12),\(p\)=.67 -0.00(0.02),\(p\)=.85
diabetes 0.08(0.26),\(p\)=.75 0.00(0.05),\(p\)=.92
digit_f male 139 intercept 5.91(0.25),\(p\)<.01 -0.10(0.06),\(p\)=.08
age -0.02(0.03),\(p\)=.41 -0.01(0.01),\(p\)=.08
education 0.07(0.02),\(p\)=.01 0.01(0.01),\(p\)=.20
height 0.01(0.01),\(p\)=.42 -0.00(0.00),\(p\)=.18
smoking -0.47(0.23),\(p\)=.04 0.06(0.05),\(p\)=.23
cardio -0.01(0.19),\(p\)=.94 -0.02(0.04),\(p\)=.51
diabetes -0.03(0.27),\(p\)=.92 -0.00(0.06),\(p\)=.96
fig_logic female 273 intercept 17.15(0.40),\(p\)<.01 -0.15(0.07),\(p\)=.05
age -0.31(0.09),\(p\)<.01 0.01(0.02),\(p\)=.77
education 0.36(0.14),\(p\)=.01 -0.04(0.03),\(p\)=.20
height -0.02(0.05),\(p\)=.72 0.00(0.01),\(p\)=.54
smoking -0.81(0.33),\(p\)=.01 0.14(0.07),\(p\)=.05
cardio –,\(p\)= —- –,\(p\)= —-
diabetes 0.97(0.91),\(p\)=.29 -0.08(0.18),\(p\)=.65
fig_logic male 138 intercept 17.61(0.73),\(p\)<.01 0.08(0.19),\(p\)=.68
age -0.13(0.12),\(p\)=.27 0.00(0.04),\(p\)=.99
education 0.35(0.10),\(p\)<.01 -0.02(0.03),\(p\)=.46
height 0.04(0.05),\(p\)=.41 0.02(0.01),\(p\)=.16
smoking -1.06(0.32),\(p\)<.01 -0.05(0.07),\(p\)=.47
cardio –,\(p\)= —- –,\(p\)= —-
diabetes -1.08(1.22),\(p\)=.37 0.46(0.37),\(p\)=.22
gait female 272 intercept 10.27(0.46),\(p\)<.01 0.53(0.36),\(p\)=.15
age 0.32(0.09),\(p\)<.01 -0.01(0.05),\(p\)=.89
education -0.31(0.13),\(p\)=.01 -0.03(0.06),\(p\)=.65
height -0.04(0.05),\(p\)=.40 0.01(0.03),\(p\)=.74
smoking 0.04(0.74),\(p\)=.96 0.06(0.21),\(p\)=.80
cardio 0.73(0.51),\(p\)=.15 -0.20(0.24),\(p\)=.42
diabetes 1.61(1.44),\(p\)=.27 1.03(1.00),\(p\)=.31
gait male 138 intercept 9.15(0.65),\(p\)<.01 0.20(0.18),\(p\)=.26
age 0.30(0.10),\(p\)<.01 -0.01(0.03),\(p\)=.72
education -0.08(0.10),\(p\)=.39 0.00(0.02),\(p\)=.87
height -0.05(0.04),\(p\)=.20 0.01(0.01),\(p\)=.46
smoking 0.96(0.56),\(p\)=.09 -0.09(0.14),\(p\)=.53
cardio 1.30(0.53),\(p\)=.01 0.22(0.14),\(p\)=.13
diabetes 1.22(0.81),\(p\)=.13 0.10(0.23),\(p\)=.68
grip female 272 intercept 9.16(0.22),\(p\)<.01 -0.34(0.03),\(p\)<.01
age -0.16(0.04),\(p\)<.01 -0.00(0.01),\(p\)=.70
education 0.21(0.07),\(p\)<.01 -0.01(0.01),\(p\)=.34
height 0.09(0.02),\(p\)<.01 -0.00(0.00),\(p\)=.50
smoking -0.37(0.17),\(p\)=.03 0.01(0.02),\(p\)=.73
cardio -0.17(0.25),\(p\)=.51 0.00(0.04),\(p\)=.98
diabetes 0.04(0.50),\(p\)=.94 -0.06(0.10),\(p\)=.59
grip male 139 intercept 12.09(0.42),\(p\)<.01 -0.35(0.08),\(p\)<.01
age -0.17(0.07),\(p\)=.02 -0.04(0.02),\(p\)=.05
education -0.12(0.05),\(p\)=.01 0.00(0.01),\(p\)=.70
height 0.11(0.04),\(p\)<.01 -0.01(0.01),\(p\)=.12
smoking -0.08(0.18),\(p\)=.67 -0.01(0.04),\(p\)=.84
cardio -0.41(0.40),\(p\)=.31 -0.23(0.07),\(p\)<.01
diabetes -1.58(0.68),\(p\)=.02 -0.09(0.11),\(p\)=.41
mir female 272 intercept 7.81(0.20),\(p\)<.01 -0.05(0.05),\(p\)=.30
age -0.16(0.05),\(p\)<.01 -0.02(0.01),\(p\)=.15
education 0.04(0.07),\(p\)=.55 -0.00(0.02),\(p\)=.85
height -0.01(0.02),\(p\)=.49 0.00(0.01),\(p\)=.45
smoking -0.06(0.14),\(p\)=.69 -0.01(0.05),\(p\)=.82
cardio –,\(p\)= —- –,\(p\)= —-
diabetes 0.30(0.43),\(p\)=.49 0.03(0.11),\(p\)=.78
mir male 139 intercept 7.21(0.40),\(p\)<.01 0.02(0.09),\(p\)=.83
age -0.21(0.08),\(p\)=.01 -0.04(0.02),\(p\)=.06
education 0.09(0.05),\(p\)=.06 0.00(0.02),\(p\)=.99
height -0.00(0.03),\(p\)=.92 0.00(0.01),\(p\)=.69
smoking -0.17(0.18),\(p\)=.33 -0.04(0.04),\(p\)=.33
cardio –,\(p\)= —- –,\(p\)= —-
diabetes -0.09(0.54),\(p\)=.86 0.23(0.16),\(p\)=.15
pef female 271 intercept 327.58(8.78),\(p\)<.01 -7.04(1.41),\(p\)<.01
age -6.30(1.89),\(p\)<.01 0.95(0.36),\(p\)=.01
education 5.64(2.66),\(p\)=.04 -0.24(0.46),\(p\)=.60
height 2.63(0.99),\(p\)=.01 -0.21(0.20),\(p\)=.28
smoking -35.14(12.76),\(p\)=.01 -3.36(2.05),\(p\)=.10
cardio 2.72(10.17),\(p\)=.79 -2.75(1.68),\(p\)=.09
diabetes 3.40(16.59),\(p\)=.84 3.83(3.58),\(p\)=.27
pef male 136 intercept 465.57(23.55),\(p\)<.01 -3.29(3.62),\(p\)=.37
age -11.96(4.15),\(p\)<.01 0.14(0.95),\(p\)=.88
education 6.98(2.11),\(p\)<.01 -0.43(0.58),\(p\)=.44
height 2.11(1.48),\(p\)=.15 0.26(0.26),\(p\)=.33
smoking -33.30(21.78),\(p\)=.13 -5.22(3.40),\(p\)=.12
cardio -21.12(19.62),\(p\)=.28 -2.60(3.04),\(p\)=.41
diabetes 43.66(27.02),\(p\)=.11 -5.43(4.09),\(p\)=.17
prose_im female 270 intercept 11.15(0.40),\(p\)<.01 -0.04(0.07),\(p\)=.54
age -0.25(0.08),\(p\)<.01 0.02(0.02),\(p\)=.15
education 0.46(0.10),\(p\)<.01 -0.04(0.02),\(p\)=.03
height 0.01(0.04),\(p\)=.76 0.01(0.01),\(p\)=.45
smoking 0.24(0.49),\(p\)=.63 -0.11(0.10),\(p\)=.27
cardio 0.23(0.43),\(p\)=.59 -0.07(0.09),\(p\)=.41
diabetes -1.78(1.14),\(p\)=.12 0.09(0.19),\(p\)=.61
prose_im male 139 intercept 10.69(0.81),\(p\)<.01 0.06(0.17),\(p\)=.79
age -0.27(0.12),\(p\)=.03 -0.00(0.05),\(p\)=.91
education 0.43(0.09),\(p\)<.01 -0.01(0.01),\(p\)=.59
height 0.01(0.06),\(p\)=.91 0.01(0.01),\(p\)=.20
smoking -0.62(0.80),\(p\)=.38 -0.15(0.12),\(p\)=.45
cardio -0.46(0.69),\(p\)=.51 -0.18(0.11),\(p\)=.12
diabetes 0.70(0.93),\(p\)=.41 -0.18(0.22),\(p\)=.44
symbol female 265 intercept 28.46(1.19),\(p\)<.01 -0.13(0.19),\(p\)=.50
age -0.81(0.27),\(p\)<.01 -0.00(0.04),\(p\)=.95
education 1.70(0.38),\(p\)<.01 -0.04(0.06),\(p\)=.52
height 0.08(0.12),\(p\)=.50 0.01(0.02),\(p\)=.54
smoking -0.69(1.67),\(p\)=.66 -0.30(0.27),\(p\)=.27
cardio 1.09(1.28),\(p\)=.40 -0.76(0.19),\(p\)<.01
diabetes -2.57(3.16),\(p\)=.42 1.38(0.48),\(p\)<.01
symbol male 134 intercept 30.52(2.41),\(p\)<.01 -0.54(0.33),\(p\)=.10
age -0.65(0.37),\(p\)=.09 0.04(0.07),\(p\)=.54
education 1.71(0.24),\(p\)<.01 0.02(0.04),\(p\)=.58
height 0.25(0.12),\(p\)=.04 -0.02(0.02),\(p\)=.30
smoking -5.97(2.25),\(p\)=.01 0.10(0.30),\(p\)=.74
cardio -1.56(1.77),\(p\)=.38 -0.15(0.27),\(p\)=.57
diabetes -1.95(2.27),\(p\)=.34 -0.09(0.47),\(p\)=.84

satsa

Process Gender \(n\) species intercept slope
analogies female 409 intercept 13.14(0.30),\(p\)<.01 -0.12(0.03),\(p\)<.01
age -0.12(0.02),\(p\)<.01 -0.00(0.00),\(p\)=.02
education 1.76(0.24),\(p\)<.01 0.02(0.02),\(p\)=.42
height 0.03(0.03),\(p\)=.32 -0.00(0.00),\(p\)=.90
smoking 0.52(0.39),\(p\)=.18 0.01(0.03),\(p\)=.87
cardio -0.56(0.64),\(p\)=.38 0.07(0.06),\(p\)=.22
diabetes -0.80(0.95),\(p\)=.40 0.05(0.19),\(p\)=.76
analogies male 300 intercept 13.16(0.48),\(p\)<.01 -0.12(0.04),\(p\)<.01
age -0.17(0.03),\(p\)<.01 -0.00(0.00),\(p\)=.17
education 1.58(0.23),\(p\)<.01 0.01(0.02),\(p\)=.64
height 0.10(0.04),\(p\)=.01 0.00(0.00),\(p\)=.54
smoking 0.01(0.47),\(p\)=.97 0.01(0.03),\(p\)=.69
cardio -0.21(0.67),\(p\)=.75 0.02(0.05),\(p\)=.66
diabetes -1.32(2.84),\(p\)=.62 -0.13(0.48),\(p\)=.68
block female 408 intercept 16.49(0.52),\(p\)<.01 -0.36(0.03),\(p\)<.01
age -0.29(0.04),\(p\)<.01 -0.01(0.00),\(p\)<.01
education 2.21(0.50),\(p\)<.01 0.02(0.03),\(p\)=.55
height 0.09(0.06),\(p\)=.17 -0.00(0.00),\(p\)=.50
smoking 0.12(0.79),\(p\)=.87 -0.01(0.05),\(p\)=.89
cardio -0.02(1.14),\(p\)=.99 0.04(0.09),\(p\)=.64
diabetes -5.41(2.37),\(p\)=.02 0.09(0.17),\(p\)=.61
block male 298 intercept 16.01(0.76),\(p\)<.01 -0.42(0.06),\(p\)<.01
age -0.38(0.06),\(p\)<.01 -0.02(0.00),\(p\)<.01
education 2.29(0.46),\(p\)<.01 -0.02(0.02),\(p\)=.34
height 0.10(0.07),\(p\)=.15 0.01(0.00),\(p\)=.20
smoking 0.31(0.86),\(p\)=.72 -0.04(0.06),\(p\)=.55
cardio -0.27(1.07),\(p\)=.80 0.00(0.10),\(p\)=.95
diabetes -4.29(7.08),\(p\)=.53 0.17(0.44),\(p\)=.69
digit_b female 409 intercept 3.67(0.10),\(p\)<.01 -0.04(0.01),\(p\)<.01
age -0.01(0.01),\(p\)=.16 -0.00(0.00),\(p\)=.04
education 0.51(0.11),\(p\)<.01 -0.01(0.01),\(p\)=.28
height 0.01(0.01),\(p\)=.34 0.00(0.00),\(p\)=.39
smoking 0.25(0.17),\(p\)=.13 0.00(0.01),\(p\)=.66
cardio 0.02(0.21),\(p\)=.92 0.02(0.02),\(p\)=.28
diabetes 0.14(0.38),\(p\)=.71 -0.02(0.03),\(p\)=.64
digit_b male 299 intercept 3.85(0.17),\(p\)<.01 -0.05(0.01),\(p\)<.01
age -0.02(0.01),\(p\)=.05 -0.00(0.00),\(p\)=.02
education 0.31(0.08),\(p\)<.01 -0.01(0.01),\(p\)=.07
height 0.04(0.01),\(p\)<.01 0.00(0.00),\(p\)=.99
smoking 0.03(0.16),\(p\)=.87 0.01(0.01),\(p\)=.37
cardio -0.22(0.21),\(p\)=.30 -0.01(0.02),\(p\)=.66
diabetes -0.23(0.84),\(p\)=.78 0.02(0.10),\(p\)=.81
digit_f female 409 intercept 5.55(0.10),\(p\)<.01 -0.03(0.01),\(p\)<.01
age -0.01(0.01),\(p\)=.13 -0.00(0.00),\(p\)=.17
education 0.32(0.09),\(p\)<.01 0.00(0.00),\(p\)=.95
height 0.00(0.01),\(p\)=.78 0.00(0.00),\(p\)=.09
smoking 0.03(0.13),\(p\)=.80 0.00(0.01),\(p\)=.71
cardio -0.28(0.23),\(p\)=.22 0.03(0.01),\(p\)=.06
diabetes -0.25(0.37),\(p\)=.53 0.02(0.07),\(p\)=.71
digit_f male 299 intercept 5.35(0.13),\(p\)<.01 -0.02(0.01),\(p\)=.06
age -0.01(0.01),\(p\)=.19 -0.00(0.00),\(p\)=.26
education 0.24(0.07),\(p\)<.01 -0.00(0.01),\(p\)=.54
height 0.05(0.01),\(p\)<.01 -0.00(0.00),\(p\)=.45
smoking 0.01(0.14),\(p\)=.97 0.01(0.01),\(p\)=.56
cardio -0.06(0.22),\(p\)=.77 -0.01(0.02),\(p\)=.48
diabetes -0.73(0.54),\(p\)=.18 0.03(0.10),\(p\)=.78
fev female 409 intercept 1.80(0.04),\(p\)<.01 -0.02(0.00),\(p\)<.01
age -0.03(0.00),\(p\)<.01 0.00(0.00),\(p\)=.14
education 0.04(0.03),\(p\)=.19 0.00(0.00),\(p\)=.95
height 0.02(0.00),\(p\)<.01 0.00(0.00),\(p\)=.53
smoking -0.06(0.04),\(p\)=.22 -0.00(0.00),\(p\)=.50
cardio -0.12(0.06),\(p\)=.05 -0.00(0.01),\(p\)=.87
diabetes -0.11(0.11),\(p\)=.31 -0.01(0.01),\(p\)=.75
fev male 299 intercept 2.55(0.07),\(p\)<.01 -0.05(0.01),\(p\)<.01
age -0.04(0.01),\(p\)<.01 0.00(0.00),\(p\)=.42
education 0.04(0.04),\(p\)=.36 0.00(0.00),\(p\)=.91
height 0.04(0.01),\(p\)<.01 0.00(0.00),\(p\)=.71
smoking -0.11(0.08),\(p\)=.17 0.00(0.01),\(p\)=.97
cardio -0.27(0.12),\(p\)=.03 0.00(0.01),\(p\)=.56
diabetes -0.46(0.25),\(p\)=.07 0.02(0.04),\(p\)=.69
fig_mem female 410 intercept 20.45(0.34),\(p\)<.01 -0.18(0.03),\(p\)<.01
age -0.08(0.03),\(p\)<.01 -0.01(0.00),\(p\)<.01
education 1.25(0.33),\(p\)<.01 -0.00(0.02),\(p\)=.94
height 0.01(0.04),\(p\)=.71 -0.00(0.00),\(p\)=.74
smoking 0.53(0.48),\(p\)=.28 -0.07(0.04),\(p\)=.05
cardio 0.55(0.64),\(p\)=.39 0.00(0.05),\(p\)=.93
diabetes -0.97(1.49),\(p\)=.52 -0.15(0.15),\(p\)=.33
fig_mem male 299 intercept 18.49(0.52),\(p\)<.01 -0.16(0.04),\(p\)<.01
age -0.17(0.04),\(p\)<.01 -0.01(0.00),\(p\)<.01
education 1.04(0.31),\(p\)<.01 0.00(0.02),\(p\)=.97
height 0.00(0.04),\(p\)=.99 0.00(0.00),\(p\)=.21
smoking 0.21(0.58),\(p\)=.72 -0.04(0.04),\(p\)=.31
cardio 0.05(0.83),\(p\)=.96 -0.08(0.08),\(p\)=.32
diabetes -1.74(4.05),\(p\)=.67 0.09(0.58),\(p\)=.87
grip female 409 intercept 21.49(0.45),\(p\)<.01 -0.57(0.04),\(p\)<.01
age -0.19(0.04),\(p\)<.01 -0.01(0.00),\(p\)<.01
education 0.31(0.39),\(p\)=.43 0.02(0.03),\(p\)=.52
height 0.15(0.05),\(p\)<.01 0.00(0.00),\(p\)=.93
smoking 0.25(0.63),\(p\)=.69 0.03(0.05),\(p\)=.64
cardio -2.22(0.81),\(p\)=.01 0.01(0.07),\(p\)=.87
diabetes -1.58(1.68),\(p\)=.37 -0.38(0.26),\(p\)=.15
grip male 299 intercept 37.22(1.17),\(p\)<.01 -0.91(0.14),\(p\)<.01
age -0.49(0.09),\(p\)<.01 -0.02(0.01),\(p\)=.12
education -0.01(0.78),\(p\)=.92 -0.00(0.07),\(p\)=.97
height 0.34(0.13),\(p\)=.03 -0.00(0.01),\(p\)=.81
smoking 1.19(1.44),\(p\)=.40 0.01(0.14),\(p\)=.93
cardio -0.65(2.09),\(p\)=.77 0.05(0.18),\(p\)=.73
diabetes -2.21(5.28),\(p\)=.67 -0.19(0.95),\(p\)=.83
information female 411 intercept 27.86(0.57),\(p\)<.01 -0.28(0.05),\(p\)<.01
age -0.04(0.05),\(p\)=.40 -0.02(0.00),\(p\)<.01
education 4.02(0.78),\(p\)<.01 -0.03(0.05),\(p\)=.54
height 0.01(0.07),\(p\)=.83 0.00(0.00),\(p\)=.57
smoking 1.08(0.99),\(p\)=.28 0.04(0.06),\(p\)=.54
cardio -2.04(1.13),\(p\)=.07 0.09(0.09),\(p\)=.35
diabetes 0.37(1.76),\(p\)=.83 -0.17(0.18),\(p\)=.37
information male 300 intercept 30.63(0.83),\(p\)<.01 -0.17(0.06),\(p\)<.01
age -0.15(0.06),\(p\)=.02 -0.01(0.00),\(p\)<.01
education 2.61(0.60),\(p\)<.01 -0.02(0.03),\(p\)=.47
height 0.10(0.08),\(p\)=.20 0.00(0.00),\(p\)=.47
smoking 0.88(0.89),\(p\)=.32 0.02(0.05),\(p\)=.70
cardio -2.66(1.16),\(p\)=.02 0.01(0.06),\(p\)=.85
diabetes 1.55(2.99),\(p\)=.60 0.05(0.33),\(p\)=.87
mmms female 412 intercept 28.06(0.14),\(p\)<.01 -0.29(0.03),\(p\)<.01
age -0.03(0.01),\(p\)=.01 -0.01(0.00),\(p\)<.01
education 0.32(0.19),\(p\)=.08 0.01(0.03),\(p\)=.77
height -0.01(0.02),\(p\)=.56 0.00(0.00),\(p\)=.55
smoking -0.06(0.27),\(p\)=.81 0.04(0.04),\(p\)=.32
cardio -0.10(0.26),\(p\)=.69 0.02(0.05),\(p\)=.74
diabetes -0.52(0.51),\(p\)=.30 0.12(0.11),\(p\)=.29
mmms male 300 intercept 27.13(0.24),\(p\)<.01 -0.14(0.03),\(p\)<.01
age -0.07(0.02),\(p\)<.01 -0.01(0.00),\(p\)=.02
education 0.29(0.18),\(p\)=.12 0.01(0.02),\(p\)=.60
height 0.06(0.03),\(p\)=.04 0.00(0.00),\(p\)=.97
smoking 0.67(0.29),\(p\)=.02 -0.03(0.04),\(p\)=.37
cardio -0.43(0.31),\(p\)=.17 0.01(0.04),\(p\)=.90
diabetes 0.13(1.19),\(p\)=.91 0.07(0.15),\(p\)=.63
rotate female 408 intercept 41.53(1.57),\(p\)<.01 -0.96(0.11),\(p\)<.01
age -0.66(0.11),\(p\)<.01 -0.04(0.01),\(p\)<.01
education 0.90(1.21),\(p\)=.46 0.19(0.07),\(p\)=.01
height 0.20(0.16),\(p\)=.23 -0.02(0.01),\(p\)=.12
smoking 0.87(1.92),\(p\)=.65 -0.13(0.12),\(p\)=.28
cardio 1.93(2.68),\(p\)=.47 0.07(0.28),\(p\)=.79
diabetes -8.58(10.32),\(p\)=.41 -0.80(0.95),\(p\)=.40
rotate male 299 intercept 49.54(2.65),\(p\)<.01 -1.57(0.20),\(p\)<.01
age -1.01(0.16),\(p\)<.01 -0.06(0.01),\(p\)<.01
education 4.03(1.18),\(p\)<.01 0.05(0.09),\(p\)=.61
height 0.09(0.17),\(p\)=.62 0.03(0.01),\(p\)=.03
smoking -2.28(2.46),\(p\)=.35 0.12(0.17),\(p\)=.46
cardio 0.40(3.36),\(p\)=.91 0.00(0.25),\(p\)=.99
diabetes -4.82(16.86),\(p\)=.78 -0.18(1.13),\(p\)=.87
symbol female 408 intercept 34.50(0.74),\(p\)<.01 -0.82(0.06),\(p\)<.01
age -0.69(0.06),\(p\)<.01 -0.02(0.00),\(p\)<.01
education 3.31(0.70),\(p\)<.01 0.05(0.04),\(p\)=.23
height 0.17(0.09),\(p\)=.05 -0.00(0.01),\(p\)=.92
smoking 0.98(1.20),\(p\)=.42 -0.06(0.08),\(p\)=.43
cardio -1.82(1.54),\(p\)=.24 -0.02(0.16),\(p\)=.92
diabetes -6.94(2.86),\(p\)=.01 -0.19(1.04),\(p\)=.82
symbol male 299 intercept 32.68(1.14),\(p\)<.01 -0.91(0.08),\(p\)<.01
age -0.69(0.08),\(p\)<.01 -0.03(0.01),\(p\)<.01
education 3.68(0.65),\(p\)<.01 0.02(0.04),\(p\)=.68
height 0.23(0.10),\(p\)=.02 0.01(0.01),\(p\)=.34
smoking -0.45(1.27),\(p\)=.72 -0.13(0.09),\(p\)=.15
cardio -1.17(1.93),\(p\)=.55 -0.01(0.14),\(p\)=.95
diabetes -0.72(8.73),\(p\)=.92 -0.04(0.77),\(p\)=.95
synonyms female 410 intercept 17.72(0.34),\(p\)<.01 -0.12(0.02),\(p\)<.01
age -0.04(0.03),\(p\)=.19 -0.01(0.00),\(p\)<.01
education 2.70(0.48),\(p\)<.01 0.00(0.03),\(p\)=.95
height 0.04(0.05),\(p\)=.41 0.00(0.00),\(p\)=.66
smoking 1.09(0.61),\(p\)=.07 -0.01(0.03),\(p\)=.81
cardio -1.59(0.85),\(p\)=.06 0.06(0.05),\(p\)=.23
diabetes -2.11(1.07),\(p\)=.05 0.13(0.16),\(p\)=.43
synonyms male 300 intercept 15.91(0.57),\(p\)<.01 -0.07(0.04),\(p\)=.04
age -0.10(0.04),\(p\)=.02 -0.01(0.00),\(p\)=.01
education 2.36(0.37),\(p\)<.01 -0.03(0.01),\(p\)=.03
height 0.15(0.06),\(p\)=.01 -0.00(0.00),\(p\)=.81
smoking 1.21(0.64),\(p\)=.06 -0.02(0.03),\(p\)=.61
cardio -2.06(0.91),\(p\)=.02 0.04(0.05),\(p\)=.46
diabetes -0.92(2.53),\(p\)=.72 0.10(0.36),\(p\)=.79

Forest Plots

Forest plots of the ‘aehplus’ model are shown for each combination of physical & cognitive variable.

Process Variable: analogies

Process Variable: block

Process Variable: bnt

Process Variable: bstory_de

Process Variable: bstory_im

Process Variable: categories

Process Variable: digit_b

Process Variable: digit_f

Process Variable: digit_o

Process Variable: digit_tot

Process Variable: fas

Process Variable: fev

Process Variable: fev100

Process Variable: fig_logic

Process Variable: fig_mem

Process Variable: fluency

Process Variable: gait

Process Variable: grip

Process Variable: ideas

Process Variable: information

Process Variable: letter

Process Variable: line

Process Variable: logic_de

Process Variable: logic_im

Process Variable: logic_tot

Process Variable: matrices

Process Variable: mir

Process Variable: mmms

Process Variable: nart

Process Variable: num_comp

Process Variable: pef

Process Variable: piccomp

Process Variable: prose_im

Process Variable: raven

Process Variable: rotate

Process Variable: serial7

Process Variable: symbol

Process Variable: synonyms

Process Variable: tics

Process Variable: trailsb

Process Variable: tug

Process Variable: waisgeneral

Process Variable: waisvocab

Process Variable: word_de

Process Variable: word_im

Process Variable: word_rec

Session Information

For the sake of documentation and reproducibility, the current report was rendered on a system using the following software.

Report rendered by Will at 2016-06-29, 00:54 -0500
R version 3.3.1 Patched (2016-06-24 r70831)
Platform: x86_64-w64-mingw32/x64 (64-bit)
Running under: Windows >= 8 x64 (build 9200)

locale:
[1] LC_COLLATE=English_United States.1252  LC_CTYPE=English_United States.1252    LC_MONETARY=English_United States.1252
[4] LC_NUMERIC=C                           LC_TIME=English_United States.1252    

attached base packages:
[1] stats     graphics  grDevices utils     datasets  methods   base     

other attached packages:
[1] ggplot2_2.1.0 magrittr_1.5  knitr_1.13   

loaded via a namespace (and not attached):
 [1] Rcpp_0.12.5        testit_0.5.1       munsell_0.4.3      colorspace_1.2-6   R6_2.1.2           highr_0.6         
 [7] stringr_1.0.0      plyr_1.8.4         dplyr_0.5.0        tools_3.3.1        DT_0.1             grid_3.3.1        
[13] gtable_0.2.0       DBI_0.4-1          htmltools_0.3.5    lazyeval_0.2.0     yaml_2.1.13        digest_0.6.9      
[19] assertthat_0.1     tibble_1.0         reshape2_1.4.1     readr_0.2.2        formatR_1.4        tidyr_0.5.1       
[25] htmlwidgets_0.6    evaluate_0.9       rmarkdown_0.9.6.14 labeling_0.3       stringi_1.1.1      scales_0.4.0      
[31] jsonlite_0.9.22